1648 lines
744 KiB
Plaintext
1648 lines
744 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# Aragon Conviction Voting Model - Version 3\n",
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"\n",
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"New to this model are the following elements:\n",
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"\n",
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"* Adding the realism that not all participant tokens are being allocated to proposals at each timestep.\n",
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"* Refactored parameters and system initialization to make more readable and consistent.\n",
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"* Changed file structure and file names to align with emerging cadCAD standards.\n",
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"* Making the distinction between effective and total supply.\n",
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"* Refining alpha calculations to more accurately reflect the 1Hive implementation. Discussion of alpha and its relation to alpha in the contract and how it relates to the timescales\n",
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"* Updated differential specification and write-up to respect new state variables\n",
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"* Moved all unit denominations to honey.\n"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# An Introduction to Conviction Voting\n",
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"\n",
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"Conviction Voting is an approach to organizing a communities preferences into discrete decisions in the management of that communities resources. Strictly speaking conviction voting is less like voting and more like signal processing. Framing the approach and the initial algorithm design was done by Michael Zargham and published in a short research proposal [Social Sensor Fusion](https://github.com/BlockScience/conviction/blob/master/social-sensorfusion.pdf). This work is based on a dynamic resource allocation algorithm presented in Zargham's PhD Thesis.\n",
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"\n",
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"The work proceeded in collaboration with the Commons Stack, including expanding on the pythin implementation to makeup part of the Commons Simulator game. An implemention of Conviction Voting as a smart contract within the Aragon Framework was developed by 1hive.org and is currently being used for community decision making around allocations their community currency, Honey.\n",
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"\n",
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"\n",
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"## The Word Problem\n",
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"\n",
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"Suppose a group of people want to coordinate to make a collective decision. Social dynamics such as discussions, signaling, and even changing ones mind based on feedback from others input play an important role in these processes. While the actual decision making process involves a lot of informal processes, in order to be fair the ultimate decision making process still requires a set of formal rules that the community collecively agrees to, which serves to functionally channel a plurality of preferences into a discrete outcomes. In our case we are interested in a procedure which supports asynchronous interactions, an provides visibility into likely outcomes prior to their resolution to serve as a driver of good faith, debate and healthy forms of coalition building. Furthermore, participations should be able to show support for multiple initiatives, and to vary the level of support shown. Participants a quantity of signaling power which may be fixed or variable, homogenous or heterogenous. For the purpose of this document, we'll focus on the case where the discrete decisions to be made are decisions to allocate funds from a shared funding pool towards projects of interest to the community.\n",
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"\n",
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"## Converting to a Math Problem\n",
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"\n",
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"Let's start taking these words and constructing a mathematical representation that supports a design that meets the description above. To start we need to define participants.\n",
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"\n",
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"### Participants\n",
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"Let $\\mathcal{A}$ be the set of participants. Consider a participant $a\\in \\mathcal{A}$. Any participant $a$ has some capacity to participate in the voting process $h[a]$. In a fixed quantity, homogenous system $h[a] = h$ for all $a\\in \\mathcal{A}$ where $h$ is a constant. The access control process managing how one becomes a participant determines the total supply of \"votes\" $S = \\sum_{a\\in \\mathcal{A}} = n\\cdot h$ where the number of participants is $n = |\\mathcal{A}|$. In a smart contract setting, the set $\\mathcal{A}$ is a set of addresses, and $h[a]$ is a quantity of tokens held by each address $a\\in \\mathcal{A}$. \n",
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"\n",
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"### Proposals & Shares Resources\n",
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"Next, we introduce the idea of proposals. Consider a proposal $i\\in \\mathcal{C}$. Any proposal $i$ is associated with a request for resources $r[i]$. Those requested resources would be allocated from a constrained pool of communal resources currently totaling $R$. The pool of resources may become depleted because when a proposal $i$ passes $R^+= R-r[i]$. Therefore it makes sense for us to consider what fraction of the shared resources are being request $\\mu_i = \\frac{r[i]}{R}$, which means that thre resource depletion from passing proposals can be bounded by requiring $\\mu_i < \\mu$ where $\\mu$ is a constant representing the maximum fraction of the shared resources which can be dispersed by any one proposal. In order for the system to be sustainable a source of new resources is required. In the case where $R$ is funding, new funding can come from revenues, donations, or in some DAO use cases minting tokens.\n",
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"\n",
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"### Participants Preferences for Proposals\n",
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"\n",
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"Most of the interesting information in this system is distributed amongst the participants and it manifests as preferences over the proposals. This can be thought of as a matrix $W\\in \\mathbb{R}^{n \\times m}$.\n",
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"\n",
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"\n",
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"These private hidden signals drive discussions and voting actions. Each participant individually decides how to allocate their votes across the available proposals. Participant $a$ supports proposal $i$ by setting $x[a,i]>0$ but they are limited by their capacity $\\sum_{k\\in \\mathcal{C}} x[a,k] \\le h[a]$. Assuming each participant chooses a subset of the proposals to support, a support graph is formed.\n",
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"\n",
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"\n",
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"## Aggregating Information\n",
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"\n",
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"In order to break out of the synchronous voting model, a dynamical systems model of this system is introduced.\n",
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"\n",
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"### Participants Allocate Voting Power\n",
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"\n",
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"\n",
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"### System Accounts Proposal Conviction\n",
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"\n",
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"\n",
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"### Understanding Alpha\n",
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"* https://www.desmos.com/calculator/x9uc6w72lm\n",
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"* https://www.desmos.com/calculator/0lmtia9jql\n",
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"\n",
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"\n",
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"## Converting Signals to Discrete Decisions\n",
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"\n",
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"Conviction as kinetic energy and Trigger function as required activation energy.\n",
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"\n",
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"### The Trigger Function\n",
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"\n",
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"https://www.desmos.com/calculator/yxklrjs5m3\n",
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"\n",
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"Below we show a sweep of the trigger function threshold:"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 1,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"application/javascript": [
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"IPython.OutputArea.prototype._should_scroll = function(lines) {\n",
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" return false;\n",
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"}\n"
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],
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"text/plain": [
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"<IPython.core.display.Javascript object>"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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}
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],
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"source": [
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"%%javascript\n",
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"IPython.OutputArea.prototype._should_scroll = function(lines) {\n",
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" return false;\n",
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"}"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 36,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"cadCAD==0.4.18\r\n"
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]
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}
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],
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"source": [
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"!pip freeze | grep cadCAD"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"metadata": {},
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"outputs": [],
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"source": [
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"import warnings\n",
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"warnings.filterwarnings(\"ignore\")\n",
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"\n",
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"from cadCAD.configuration.utils import config_sim\n",
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"from model.parts.utils import *\n",
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"from model.parts.sys_params import * \n",
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"\n",
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"sim_config = config_sim({\n",
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" 'N': 1,\n",
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" 'T': range(100), #day \n",
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" 'M': params,\n",
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"})"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"metadata": {
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||
"tags": []
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},
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"outputs": [
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{
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"name": "stdout",
|
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"output_type": "stream",
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"text": [
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"for reference: max conviction = 5.25318713934522in log10 units\n"
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]
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}
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],
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"source": [
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"supply = initial_values['supply']\n",
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"alpha = sim_config[0]['M']['alpha']\n",
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"\n",
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"mcv = supply/(1-alpha)\n",
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"print('for reference: max conviction = '+str(np.log10(mcv))+'in log10 units')"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 4,
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"metadata": {},
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"outputs": [],
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"source": [
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"supply_sweep = trigger_sweep('effective_supply',trigger_threshold, sim_config[0]['M'], supply)\n",
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"alpha_sweep = trigger_sweep('alpha',trigger_threshold, sim_config[0]['M'], supply)"
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]
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},
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{
|
||
"cell_type": "code",
|
||
"execution_count": 5,
|
||
"metadata": {
|
||
"scrolled": true,
|
||
"tags": []
|
||
},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
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\n",
|
||
"text/plain": [
|
||
"<Figure size 1440x1440 with 4 Axes>"
|
||
]
|
||
},
|
||
"metadata": {
|
||
"needs_background": "light"
|
||
},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"trigger_grid(supply_sweep, alpha_sweep)"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"### Resolving Passed Proposals\n",
|
||
"\n",
|
||
"\n",
|
||
"\n",
|
||
"\n",
|
||
"## Social Systems Modeling\n",
|
||
"\n",
|
||
"Subjective, exploratory modeling of the social system interacting through the conviction voting algorithm.\n",
|
||
"\n",
|
||
"### Sentiment\n",
|
||
"\n",
|
||
"Global Sentiment -- the outside world appreciating the output of the community\n",
|
||
"Local Sentiment -- agents within the system feeling good about the community\n",
|
||
"\n",
|
||
"### Social Networks\n",
|
||
"\n",
|
||
"Preferences as mixing process (social influence)\n",
|
||
"\n",
|
||
"### Relationships between Proposals\n",
|
||
"\n",
|
||
"Some proposals are synergistic (passing one makes the other more desireable)\n",
|
||
"Some proposals are (parially) substitutable (passing one makes the other less desirable)\n",
|
||
"\n",
|
||
"### Notion of Honey supply\n",
|
||
"#### Total supply = $S$\n",
|
||
"#### Effective supply = $E$\n",
|
||
"#### Funding Pool = $F$\n",
|
||
"#### Other supply = $L$, effectively slack. Funds could be in cold storage, in liquidity pools or otherwise in any address not actively participating in conviction voting.\n",
|
||
"$$S = F + E + L$$ \n",
|
||
"\n",
|
||
"System has the right to do direct mints:\n",
|
||
"$$F^+ = F + minted$$\n",
|
||
"$$S^+ = S + minted$$\n",
|
||
"\n",
|
||
"\n",
|
||
"Arrival of new funds which come from outside:\n",
|
||
"$$L+ = L - donated$$\n",
|
||
"$$F+ = F + donated$$\n",
|
||
"The above assumes the donated tokens were not in use for voting\n",
|
||
"$$L+ = L + tokens$$ that haven't been used in voting recently\n",
|
||
"$$E+ = E - tokens$$ that haven't been used in voting recently\n",
|
||
"$$L+ = L - tokens$$ that come into use\n",
|
||
"$$E+ = E - tokens$$ that come into use\n",
|
||
"\n",
|
||
"Tokens in $L$ or $E$ are defined at the level of the account holding them.\n",
|
||
"\n",
|
||
"Total supply $S$ can be made a param and the state supply should be only $E$, effective supply."
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"## cadCAD Overview\n",
|
||
"\n",
|
||
"In the cadCAD simulation [methodology](https://community.cadcad.org/t/differential-specification-syntax-key/31), we operate on four layers: **Policies, Mechanisms, States**, and **Metrics**. Information flows do not have explicit feedback loop unless noted. **Policies** determine the inputs into the system dynamics, and can come from user input, observations from the exogenous environment, or algorithms. **Mechanisms** are functions that take the policy decisions and update the States to reflect the policy level changes. **States** are variables that represent the system quantities at the given point in time, and **Metrics** are computed from state variables to assess the health of the system. Metrics can often be thought of as KPIs, or Key Performance Indicators. \n",
|
||
"\n",
|
||
"At a more granular level, to setup a model, there are system conventions and configurations that must be [followed.](https://community.cadcad.org/t/introduction-to-simulation-configurations/34)\n",
|
||
"\n",
|
||
"The way to think of cadCAD modeling is analogous to machine learning pipelines which normally consist of multiple steps when training and running a deployed model. There is preprocessing, which includes segregating features between continuous and categorical, transforming or imputing data, and then instantiating, training, and running a machine learning model with specified hyperparameters. cadCAD modeling can be thought of in the same way as states, roughly translating into features, are fed into pipelines that have built-in logic to direct traffic between different mechanisms, such as scaling and imputation. Accuracy scores, ROC, etc. are analogous to the metrics that can be configured on a cadCAD model, specifying how well a given model is doing in meeting its objectives. The parameter sweeping capability of cadCAD can be thought of as a grid search, or way to find the optimal hyperparameters for a system by running through alternative scenarios. A/B style testing that cadCAD enables is used in the same way machine learning models are A/B tested, except out of the box, in providing a side by side comparison of muliple different models to compare and contrast performance. Utilizing the field of Systems Identification, dynamical systems models can be used to \"online learn\" by providing a feedback loop to generative system mechanisms. \n",
|
||
"\n",
|
||
"\n",
|
||
"## Differential Specification \n",
|
||
"\n",
|
||
"\n",
|
||
"## File structure\n",
|
||
"* ```Aragon_Conviction_Voting_Model.ipynb```\n",
|
||
"* model\n",
|
||
"\n",
|
||
"In the model folder there exist 4 files and folder, the [```config.py```](model/config.py), [```partial_state_update_block.py```](model/partial_state_update_block.py), [```run.py```](model/run.py), and [```state_variables.py```](model/state_variables.py). The [```config.py```](model/config.py) contains the simulation configurations, aggregating the partial states, and the state variables. The [```partial_state_update_block.py```](model/partial_state_update_block.py) contains the partial state update blocks and how they update the state variables. [```state_variables.py```](model/state_variables.py) defines the state variables and [```run.py```](model/run.py) actually runs the simulation.\n",
|
||
"\n",
|
||
"The mechanisms of the model live within the parts subfolder as:\n",
|
||
"* [```system.py```](model/parts/system.py)\n",
|
||
"* [```participants.py```](model/parts/participants.py)\n",
|
||
"* [```proposals.py```](model/parts/proposals.py)\n",
|
||
"\n",
|
||
"The initial parameters and hyperparameters of the system are defined in [```sys_params.py```](model/sys_params.py) and helper functions, plots, trigger function, etc are in the [```utils.py```](model/utils.py)\n",
|
||
"\n",
|
||
"## Schema of the states \n",
|
||
"The model consists of a temporal in memory graph database called *network* containing nodes of type **Participant** and type **Proposal**. Participants will have *holdings* and *sentiment* and Proposals will have *funds_required, status*(candidate or active), *conviction* Tthe model as three kinds of edges:\n",
|
||
"* (Participant, participant), we labeled this edge type \"influencer\" and it contains information about how the preferences and sentiment of one participant influence another \n",
|
||
"* (Proposal, Proposal), we labeled this edge type \"conflict\" and it contains information about how synergistic or anti-synergistic two proposals are; basically people are likely to support multiple things that have synergy (meaning once one is passed there is more utility from the other) but they are not likely to pass things that have antisynergy (meaning once one is passed there is less utility from the other).\n",
|
||
"* The edges between Participant and Proposal, which are described below.\n",
|
||
" \n",
|
||
"\n",
|
||
"Edges in the network go from nodes of type Participant to nodes of type Proposal with the edges having the key *type*, of which all will be set to *support*. Edges from participant $i$ to proposal $j$ will have the following additional characteristics:\n",
|
||
"* Each pairing (i,j) will have *affinity*, which determines how much $i$ likes or dislikes proposal $j$.\n",
|
||
"* Each participant $i$, assigns its $tokens$ over the edges (i,j) for all $j$ such that the summation of all $j$ such that ```Sum_j = network.edges[(i,j)]['tokens'] = network.nodes[i]['holdings']```. This value of tokens for participants on proposals must be less than or equal to the total number of tokens held by the participant.\n",
|
||
"* Each pairing (i,j) will have *conviction* local to that edge whose update at each timestep is computed using the value of *tokens* at that edge.\n",
|
||
"* Each proposal *j* will have a *conviction* which is equal to the sum of the conviction on its inbound edges: ```network.nodes[j]['conviction'] = Sum_i network.edges[(i,j)]['conviction']```. \n",
|
||
"\n",
|
||
"\n",
|
||
"The other state variables in the model are *funds*, *sentiment*, *effective_supply*, and *total_supply*.\n",
|
||
"\n",
|
||
"The system consists of 100 time steps without a parameter sweep or monte carlo.\n",
|
||
"\n",
|
||
" \n",
|
||
"## Partial State Update Blocks \n",
|
||
"\n",
|
||
"Each partial state update block is kind of a like a phase in a phased based board game. Everyone decides what to do and it reconciles all decisions. One timestep is a full turn, with each block being a phase of a timestep or turn. We will walk through the individaul Partial State update blocks one by one below."
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"```\n",
|
||
"{\n",
|
||
"# system.py: \n",
|
||
"'policies': { \n",
|
||
" 'random': driving_process\n",
|
||
"},\n",
|
||
"'variables': {\n",
|
||
" 'network': update_network,\n",
|
||
" 'effective_supply':increment_supply,\n",
|
||
"}\n",
|
||
"```\n",
|
||
"\n",
|
||
"To simulate the arrival of participants and proposal into the system, we have a driving process to represent the arrival of individual agents. We use a random uniform distribution generator, over [0, 1), to calculate the number of new participants. We then use an exponential distribution to calculate the particpant's tokens by using a loc of 0.0 and a scale of expected holdings, which is calculated by .1*supply/number of existing participants. We calculate the number of new proposals by \n",
|
||
"```\n",
|
||
"proposal_rate = 1/median_affinity * (1+total_funds_requested/funds)\n",
|
||
"rv2 = np.random.rand()\n",
|
||
"new_proposal = bool(rv2<1/proposal_rate)\n",
|
||
"```\n",
|
||
"The network state variable is updated to include the new participants and proposals, while the *effective_supply state variable is updated for the additiona of new particpant's funds. \n",
|
||
"```\n",
|
||
" {\n",
|
||
" 'policies': { \n",
|
||
" 'random': minting_rule\n",
|
||
" },\n",
|
||
" 'variables': {\n",
|
||
" 'total_supply': mint_to_supply,\n",
|
||
" 'funds':mint_to_funds,\n",
|
||
"\n",
|
||
" }\n",
|
||
"},\n",
|
||
"```\n",
|
||
"A behavior called *minting_rule* is included to record the general expansion of system supply every day. The *total_supply* and *funds* state variables are incrased with these minted values.\n",
|
||
"[To see the partial state update's code, click here](model/parts/system.py)"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"```\n",
|
||
"{\n",
|
||
" # participants.py \n",
|
||
" 'policies': {\n",
|
||
" 'completion': check_progress \n",
|
||
" },\n",
|
||
" 'variables': { \n",
|
||
" 'sentiment': update_sentiment_on_completion, #not completing projects decays sentiment, completing bumps it\n",
|
||
" 'network': complete_proposal\n",
|
||
" }\n",
|
||
"},\n",
|
||
"```\n",
|
||
"\n",
|
||
"In the next phase of the turn, [to see the logic code, click here](model/parts/participants.py), the *check_progress* behavior checks for the completion of previously funded proposals. The code calculates the completion and failure rates as follows:\n",
|
||
"\n",
|
||
"```\n",
|
||
"likelihood = 1.0/(base_completion_rate+np.log(grant_size))\n",
|
||
"\n",
|
||
"failure_rate = 1.0/(base_failure_rate+np.log(grant_size))\n",
|
||
"if np.random.rand() < likelihood:\n",
|
||
" completed.append(j)\n",
|
||
"elif np.random.rand() < failure_rate:\n",
|
||
" failed.append(j)\n",
|
||
"```\n",
|
||
"With the base_completion_rate being 100 and the base_failure_rate as 200. \n",
|
||
"\n",
|
||
"The mechanism then updates the respective *network* nodes and updates the sentiment variable on proposal completion. "
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"```\n",
|
||
" # proposals.py\n",
|
||
" 'policies': {\n",
|
||
" 'release': trigger_function \n",
|
||
" },\n",
|
||
" 'variables': { \n",
|
||
" 'funds': decrement_funds, \n",
|
||
" 'sentiment': update_sentiment_on_release, #releasing funds can bump sentiment\n",
|
||
" 'network': update_proposals \n",
|
||
" }\n",
|
||
"},\n",
|
||
" ```\n",
|
||
" \n",
|
||
"The [trigger release function](model/parts/proposals.py) checks to see if each proposal passes or not. If a proposal passes, funds are decremented by the amount of the proposal, while the proposal's status is changed in the network object."
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"```\n",
|
||
"{ \n",
|
||
" # participants.py\n",
|
||
" 'policies': { \n",
|
||
" 'participants_act': participants_decisions\n",
|
||
" },\n",
|
||
" 'variables': {\n",
|
||
" 'network': update_tokens \n",
|
||
" }\n",
|
||
"}\n",
|
||
"```\n",
|
||
"\n",
|
||
"The Participants decide based on their affinity if which proposals they would like to support,[to see the logic code, click here](model/parts/participants.py). Proposals that participants have high affinity for receive more support and pledged tokens than proposals with lower affinity and sentiment. We then update everyone's holdings and their conviction for each proposal.\n"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"## Model next steps\n",
|
||
"\n",
|
||
"The the model described above is the third iteration model that covers the core mechanisms of the Aragon Conviction Voting model. Below are next additional dynamics we can attend to enrich the model, and provide workstreams for subsequent iterations of this lab notebook.\n",
|
||
"\n",
|
||
"* Add a uniswap instance\n",
|
||
"* Mixing of token holdings among participants\n",
|
||
"* Departure of participants\n",
|
||
"* Proposals which are good or no good together\n",
|
||
"* Affects of outcomes on sentiment"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"# Simulation"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"## Configuration\n",
|
||
"Let's factor out into its own notebook where we review the config object and its partial state update blocks."
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 6,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"Params (config.py) : {'beta': 0.2, 'rho': 0.0025, 'alpha': 0.875, 'gamma': 0.001, 'sensitivity': 0.75, 'tmin': 1, 'min_supp': 1, 'base_completion_rate': 45, 'base_failure_rate': 180, 'base_engagement_rate': 0.3, 'lowest_affinity_to_support': 0.3}\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"from model import config"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 7,
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"# pull out configurations to illustrate\n",
|
||
"sim_config,state_variables,seeds,partial_state_update_blocks = config.get_configs()"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 8,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"text/plain": [
|
||
"[{'N': 1,\n",
|
||
" 'T': range(0, 100),\n",
|
||
" 'M': {'beta': 0.2,\n",
|
||
" 'rho': 0.0025,\n",
|
||
" 'alpha': 0.875,\n",
|
||
" 'gamma': 0.001,\n",
|
||
" 'sensitivity': 0.75,\n",
|
||
" 'tmin': 1,\n",
|
||
" 'min_supp': 1,\n",
|
||
" 'base_completion_rate': 45,\n",
|
||
" 'base_failure_rate': 180,\n",
|
||
" 'base_engagement_rate': 0.3,\n",
|
||
" 'lowest_affinity_to_support': 0.3},\n",
|
||
" 'subset_id': 0,\n",
|
||
" 'subset_window': deque([0, None]),\n",
|
||
" 'simulation_id': 0,\n",
|
||
" 'run_id': 0}]"
|
||
]
|
||
},
|
||
"execution_count": 8,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"sim_config"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 9,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"text/plain": [
|
||
"[{'policies': {'random': <function model.parts.system.driving_process(params, step, sL, s)>},\n",
|
||
" 'variables': {'network': <function model.parts.system.update_network(params, step, sL, s, _input)>,\n",
|
||
" 'effective_supply': <function model.parts.system.increment_supply(params, step, sL, s, _input)>}},\n",
|
||
" {'policies': {'random': <function model.parts.system.minting_rule(params, step, sL, s)>},\n",
|
||
" 'variables': {'total_supply': <function model.parts.system.mint_to_supply(params, step, sL, s, _input)>,\n",
|
||
" 'funds': <function model.parts.system.mint_to_funds(params, step, sL, s, _input)>}},\n",
|
||
" {'policies': {'completion': <function model.parts.participants.check_progress(params, step, sL, s)>},\n",
|
||
" 'variables': {'sentiment': <function model.parts.participants.update_sentiment_on_completion(params, step, sL, s, _input)>,\n",
|
||
" 'network': <function model.parts.participants.complete_proposal(params, step, sL, s, _input)>}},\n",
|
||
" {'policies': {'release': <function model.parts.proposals.trigger_function(params, step, sL, s)>},\n",
|
||
" 'variables': {'funds': <function model.parts.proposals.decrement_funds(params, step, sL, s, _input)>,\n",
|
||
" 'sentiment': <function model.parts.proposals.update_sentiment_on_release(params, step, sL, s, _input)>,\n",
|
||
" 'network': <function model.parts.proposals.update_proposals(params, step, sL, s, _input)>}},\n",
|
||
" {'policies': {'participants_act': <function model.parts.participants.participants_decisions(params, step, sL, s)>},\n",
|
||
" 'variables': {'network': <function model.parts.participants.update_tokens(params, step, sL, s, _input)>}}]"
|
||
]
|
||
},
|
||
"execution_count": 9,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"partial_state_update_blocks"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"### Parameters\n",
|
||
"\n",
|
||
"Initial values are the starting values for the simulation."
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 10,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"text/plain": [
|
||
"{'initial_sentiment': 0.6,\n",
|
||
" 'n': 30,\n",
|
||
" 'm': 7,\n",
|
||
" 'initial_funds': 4867.21,\n",
|
||
" 'supply': 22392.22}"
|
||
]
|
||
},
|
||
"execution_count": 10,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"initial_values"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"$n$ is initial participants, whereas $m$ is initial proposals.\n",
|
||
"\n",
|
||
"Sim_config holds the global hyperparameters for the simulations"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 11,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"text/plain": [
|
||
"{'beta': 0.2,\n",
|
||
" 'rho': 0.0025,\n",
|
||
" 'alpha': 0.875,\n",
|
||
" 'gamma': 0.001,\n",
|
||
" 'sensitivity': 0.75,\n",
|
||
" 'tmin': 1,\n",
|
||
" 'min_supp': 1,\n",
|
||
" 'base_completion_rate': 45,\n",
|
||
" 'base_failure_rate': 180,\n",
|
||
" 'base_engagement_rate': 0.3,\n",
|
||
" 'lowest_affinity_to_support': 0.3}"
|
||
]
|
||
},
|
||
"execution_count": 11,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"sim_config[0]['M']"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"## Hyperparameter explanations:\n",
|
||
"* $\\beta$ = .2 Upper bound on share of funds dispersed in the example Trigger Function\n",
|
||
"* $\\rho$ = 0.002 Scale Parameter for the example Trigger Function\n",
|
||
"* $\\alpha$ : 0.875 The decay rate for previously accumulated conviction\n",
|
||
"* $\\gamma$: 0.001 The expansion of supply per per day\n",
|
||
"* sensitivity of participant decisions to changes in affinity \n",
|
||
"* tmin = 1 unit days; minimum periods passed before a proposal can pass\n",
|
||
"* min_supp = 50 number of tokens that must be stake for a proposal to be a candidate\n",
|
||
"* base_completion_rate': 45, \n",
|
||
"* base_failure_rate': [180],\n",
|
||
"* base_engagement_rate' :[0.3],\n",
|
||
"* lowest_affinity_to_support': [0.3],"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"## Initialization\n",
|
||
"Now we will initialize our model's state variables. "
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 12,
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"# initialize \n",
|
||
"network = initialize_network(initial_values['n'],initial_values['m'],\n",
|
||
" initial_values['initial_funds'],\n",
|
||
" initial_values['supply'],sim_config[0]['M'])\n",
|
||
"initial_funds = initial_values['initial_funds']\n",
|
||
"\n",
|
||
"genesis_states = { \n",
|
||
" 'network': network,\n",
|
||
" 'funds':initial_values['initial_funds'],\n",
|
||
" 'sentiment': initial_values['initial_sentiment'],\n",
|
||
" 'effective_supply': initial_values['supply']-initial_values['initial_funds'],\n",
|
||
" 'total_supply': initial_values['supply']\n",
|
||
"\n",
|
||
"}\n"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"#### Exploring the State Data Structure\n",
|
||
"\n",
|
||
"A graph is a type of temporal data structure that evolves over time. A graph $\\mathcal{G}(\\mathcal{V},\\mathcal{E})$ consists of vertices or nodes, $\\mathcal{V} = \\{1...\\mathcal{V}\\}$ and is connected by edges $\\mathcal{E} \\subseteq \\mathcal{V} \\times \\mathcal{V}$.\n",
|
||
"\n",
|
||
"See *Schema of the states* above for more details\n",
|
||
"\n",
|
||
"\n",
|
||
"Let's explore!"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 13,
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"# To explore our model prior to the simulation, we extract key components from our networkX object into lists.\n",
|
||
"proposals = get_nodes_by_type(network, 'proposal')\n",
|
||
"participants = get_nodes_by_type(network, 'participant')\n",
|
||
"supporters = get_edges_by_type(network, 'support')\n",
|
||
"influencers = get_edges_by_type(network, 'influence')\n",
|
||
"competitors = get_edges_by_type(network, 'conflict')"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 14,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"text/plain": [
|
||
"{'type': 'participant',\n",
|
||
" 'holdings': 532.5084574397217,\n",
|
||
" 'sentiment': 0.5275015799376981}"
|
||
]
|
||
},
|
||
"execution_count": 14,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"#sample a participant\n",
|
||
"network.nodes[participants[0]]"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 15,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"text/plain": [
|
||
"Text(0, 0.5, 'Count of Participants')"
|
||
]
|
||
},
|
||
"execution_count": 15,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
},
|
||
{
|
||
"data": {
|
||
"image/png": 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\n",
|
||
"text/plain": [
|
||
"<Figure size 432x288 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {
|
||
"needs_background": "light"
|
||
},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"# Let's look at the distribution of participant holdings at the start of the sim\n",
|
||
"plt.hist([ network.nodes[i]['holdings'] for i in participants])\n",
|
||
"plt.title('Histogram of Participants Token Holdings')\n",
|
||
"plt.xlabel('Amount of Honey')\n",
|
||
"plt.ylabel('Count of Participants')\n"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 16,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"text/plain": [
|
||
"Text(0.5, 1.0, 'Participants Social Network')"
|
||
]
|
||
},
|
||
"execution_count": 16,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
},
|
||
{
|
||
"data": {
|
||
"image/png": 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\n",
|
||
"text/plain": [
|
||
"<Figure size 432x288 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"nx.draw_spring(network, nodelist = participants, edgelist=influencers)\n",
|
||
"plt.title('Participants Social Network')"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 17,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"text/plain": [
|
||
"{'type': 'proposal',\n",
|
||
" 'conviction': 0,\n",
|
||
" 'status': 'candidate',\n",
|
||
" 'age': 0,\n",
|
||
" 'funds_requested': 1531.8949689775677,\n",
|
||
" 'trigger': inf}"
|
||
]
|
||
},
|
||
"execution_count": 17,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"#lets look at proposals\n",
|
||
"network.nodes[proposals[0]]"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"Proposals initially start without any conviction, and with the status of a candidate. If the proposal's amount of conviction is greater than it's trigger, then the proposal moves to active and it's funds requested are granted. "
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"All initial proposal start with 0 conviction and state 'candidate'we can simply examine the amounts of funds requested"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 18,
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"funds_array = np.array([ network.nodes[i]['funds_requested'] for i in proposals])\n",
|
||
"conviction_required = np.array([trigger_threshold(r, initial_funds, supply, alpha,sim_config[0]['M']) for r in funds_array])"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 19,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"text/plain": [
|
||
"Text(0, 0.5, 'Amount of Honey requested(as a Fraction of Funds available)')"
|
||
]
|
||
},
|
||
"execution_count": 19,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
},
|
||
{
|
||
"data": {
|
||
"image/png": 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\n",
|
||
"text/plain": [
|
||
"<Figure size 432x288 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {
|
||
"needs_background": "light"
|
||
},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"plt.bar( proposals, funds_array/initial_funds)\n",
|
||
"plt.title('Bar chart of Proposals Funds Requested')\n",
|
||
"plt.xlabel('Proposal identifier')\n",
|
||
"plt.ylabel('Amount of Honey requested(as a Fraction of Funds available)')"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 20,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"text/plain": [
|
||
"Text(0, 0.5, 'Amount of Conviction')"
|
||
]
|
||
},
|
||
"execution_count": 20,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
},
|
||
{
|
||
"data": {
|
||
"image/png": 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\n",
|
||
"text/plain": [
|
||
"<Figure size 432x288 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {
|
||
"needs_background": "light"
|
||
},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"plt.bar( proposals, conviction_required)\n",
|
||
"plt.title('Bar chart of Proposals Conviction Required')\n",
|
||
"plt.xlabel('Proposal identifier')\n",
|
||
"plt.ylabel('Amount of Conviction')"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"Conviction is a concept that arises in the edges between participants and proposals in the initial conditions there are no votes yet so we can look at that later however, the voting choices are driven by underlying affinities which we can see now."
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 21,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"text/plain": [
|
||
"Text(0.5, 55.73999999999998, 'Participant_id')"
|
||
]
|
||
},
|
||
"execution_count": 21,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
},
|
||
{
|
||
"data": {
|
||
"image/png": 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\n",
|
||
"text/plain": [
|
||
"<Figure size 1440x360 with 2 Axes>"
|
||
]
|
||
},
|
||
"metadata": {
|
||
"needs_background": "light"
|
||
},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"m = len(proposals)\n",
|
||
"n = len(participants)\n",
|
||
"\n",
|
||
"affinities = np.empty((n,m))\n",
|
||
"for i_ind in range(n):\n",
|
||
" for j_ind in range(m):\n",
|
||
" i = participants[i_ind]\n",
|
||
" j = proposals[j_ind]\n",
|
||
" affinities[i_ind][j_ind] = network.edges[(i,j)]['affinity']\n",
|
||
"\n",
|
||
"dims = (20, 5)\n",
|
||
"fig, ax = plt.subplots(figsize=dims)\n",
|
||
"\n",
|
||
"sns.heatmap(affinities.T,\n",
|
||
" xticklabels=participants,\n",
|
||
" yticklabels=proposals,\n",
|
||
" square=True,\n",
|
||
" cbar=True,\n",
|
||
" cmap = plt.cm.RdYlGn,\n",
|
||
" ax=ax)\n",
|
||
"\n",
|
||
"plt.title('Affinities between participants and proposals')\n",
|
||
"plt.ylabel('Proposal_id')\n",
|
||
"plt.xlabel('Participant_id')"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"## Run simulation\n",
|
||
"\n",
|
||
"Now we will create the final system configuration, append the genesis states we created, and run our simulation."
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 22,
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"from cadCAD.configuration import Experiment\n",
|
||
"\n",
|
||
"# Create configuration\n",
|
||
"exp = Experiment()\n",
|
||
"\n",
|
||
"exp.append_configs(\n",
|
||
" sim_configs=sim_config,\n",
|
||
" initial_state=genesis_states,\n",
|
||
" seeds=seeds,\n",
|
||
" partial_state_update_blocks=partial_state_update_blocks\n",
|
||
")"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 23,
|
||
"metadata": {
|
||
"tags": []
|
||
},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"\n",
|
||
" ___________ ____\n",
|
||
" ________ __ ___/ / ____/ | / __ \\\n",
|
||
" / ___/ __` / __ / / / /| | / / / /\n",
|
||
"/ /__/ /_/ / /_/ / /___/ ___ |/ /_/ /\n",
|
||
"\\___/\\__,_/\\__,_/\\____/_/ |_/_____/\n",
|
||
"by cadCAD\n",
|
||
"\n",
|
||
"Execution Mode: local_proc\n",
|
||
"Configuration Count: 2\n",
|
||
"Dimensions of the first simulation: (Timesteps, Params, Runs, Vars) = (100, 11, 1, 5)\n",
|
||
"Execution Method: local_simulations\n",
|
||
"SimIDs : [0, 1]\n",
|
||
"SubsetIDs: [0, 0]\n",
|
||
"Ns : [0, 0]\n",
|
||
"ExpIDs : [0, 0]\n",
|
||
"Total execution time: 214.02s\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"import numpy as np\n",
|
||
"import pandas as pd\n",
|
||
"from model.parts.utils import *\n",
|
||
"from model import run\n",
|
||
"from cadCAD import configs\n",
|
||
"pd.options.display.float_format = '{:.2f}'.format\n",
|
||
"\n",
|
||
"%matplotlib inline\n",
|
||
"\n",
|
||
"rdf = run.run(configs)\n"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"After the simulation has run successfully, we perform some postprocessing to extract node and edge values from the network object and add as columns to the pandas dataframe. For the rdf, we take only the values at the last substep of each timestep in the simulation."
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 24,
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"df= run.postprocessing(rdf,0)"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 25,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"text/html": [
|
||
"<div>\n",
|
||
"<style scoped>\n",
|
||
" .dataframe tbody tr th:only-of-type {\n",
|
||
" vertical-align: middle;\n",
|
||
" }\n",
|
||
"\n",
|
||
" .dataframe tbody tr th {\n",
|
||
" vertical-align: top;\n",
|
||
" }\n",
|
||
"\n",
|
||
" .dataframe thead th {\n",
|
||
" text-align: right;\n",
|
||
" }\n",
|
||
"</style>\n",
|
||
"<table border=\"1\" class=\"dataframe\">\n",
|
||
" <thead>\n",
|
||
" <tr style=\"text-align: right;\">\n",
|
||
" <th></th>\n",
|
||
" <th>network</th>\n",
|
||
" <th>funds</th>\n",
|
||
" <th>sentiment</th>\n",
|
||
" <th>effective_supply</th>\n",
|
||
" <th>total_supply</th>\n",
|
||
" <th>simulation</th>\n",
|
||
" <th>subset</th>\n",
|
||
" <th>run</th>\n",
|
||
" <th>substep</th>\n",
|
||
" <th>timestep</th>\n",
|
||
" <th>...</th>\n",
|
||
" <th>funds_requested</th>\n",
|
||
" <th>share_of_funds_requested</th>\n",
|
||
" <th>share_of_funds_requested_all</th>\n",
|
||
" <th>triggers</th>\n",
|
||
" <th>conviction_share_of_trigger</th>\n",
|
||
" <th>age</th>\n",
|
||
" <th>age_all</th>\n",
|
||
" <th>conviction_all</th>\n",
|
||
" <th>triggers_all</th>\n",
|
||
" <th>conviction_share_of_trigger_all</th>\n",
|
||
" </tr>\n",
|
||
" </thead>\n",
|
||
" <tbody>\n",
|
||
" <tr>\n",
|
||
" <th>5</th>\n",
|
||
" <td>(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,...</td>\n",
|
||
" <td>4889.60</td>\n",
|
||
" <td>0.60</td>\n",
|
||
" <td>14064.06</td>\n",
|
||
" <td>22414.61</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>5</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>[2244.0521726170327, 914.5813215839368, 1017.1...</td>\n",
|
||
" <td>[0.45894370782108995, 0.18704616049195447, 0.2...</td>\n",
|
||
" <td>[0.45894370782108995, 0.18704616049195447, 0.2...</td>\n",
|
||
" <td>[inf, 1917290.4085387064, inf, inf, 9952.88318...</td>\n",
|
||
" <td>[0.0, 9.990438364111072e-06, 0.0, 0.0, 0.17254...</td>\n",
|
||
" <td>[1, 1, 1, 1, 1, 1, 1]</td>\n",
|
||
" <td>[1, 1, 1, 1, 1, 1, 1, 1]</td>\n",
|
||
" <td>[1449.414631868775, 19.154571652607284, 959.38...</td>\n",
|
||
" <td>[inf, 1917290.4085387064, inf, inf, inf, 9952....</td>\n",
|
||
" <td>[0.0, 9.990438364111072e-06, 0.0, 0.0, 0.0, 0....</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>10</th>\n",
|
||
" <td>(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,...</td>\n",
|
||
" <td>4912.02</td>\n",
|
||
" <td>0.60</td>\n",
|
||
" <td>14064.06</td>\n",
|
||
" <td>22437.03</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>5</td>\n",
|
||
" <td>2</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>[2244.0521726170327, 914.5813215839368, 1017.1...</td>\n",
|
||
" <td>[0.45684944682952705, 0.1861926277582785, 0.20...</td>\n",
|
||
" <td>[0.45684944682952705, 0.1861926277582785, 0.20...</td>\n",
|
||
" <td>[inf, 1676268.4844376259, inf, inf, 9966.65937...</td>\n",
|
||
" <td>[0.0, 2.1425459096839005e-05, 0.0, 0.0, 0.4415...</td>\n",
|
||
" <td>[2, 2, 2, 2, 2, 2, 2, 1]</td>\n",
|
||
" <td>[2, 2, 2, 2, 2, 2, 2, 2, 1, 1]</td>\n",
|
||
" <td>[3215.4540034448446, 35.91482184863866, 2204.5...</td>\n",
|
||
" <td>[inf, 1676268.4844376259, inf, nan, inf, 9966....</td>\n",
|
||
" <td>[0.0, 2.1425459096839005e-05, 0.0, nan, 0.0, 0...</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>15</th>\n",
|
||
" <td>(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,...</td>\n",
|
||
" <td>4934.45</td>\n",
|
||
" <td>0.60</td>\n",
|
||
" <td>14199.32</td>\n",
|
||
" <td>22459.46</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>5</td>\n",
|
||
" <td>3</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>[2244.0521726170327, 914.5813215839368, 1017.1...</td>\n",
|
||
" <td>[0.454772146364351, 0.1853460074221069, 0.2061...</td>\n",
|
||
" <td>[0.454772146364351, 0.1853460074221069, 0.2061...</td>\n",
|
||
" <td>[inf, 1475429.753355764, inf, inf, 9949.352772...</td>\n",
|
||
" <td>[0.0, 0.00026126860129941016, 0.0, 0.0, 0.8073...</td>\n",
|
||
" <td>[3, 3, 3, 3, 3, 3, 3, 2]</td>\n",
|
||
" <td>[3, 3, 3, 3, 3, 3, 3, 3, 2, 2]</td>\n",
|
||
" <td>[5493.660845229355, 385.4834679747942, 3425.95...</td>\n",
|
||
" <td>[inf, 1475429.753355764, inf, nan, inf, 9949.3...</td>\n",
|
||
" <td>[0.0, 0.00026126860129941016, 0.0, nan, 0.0, 0...</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>20</th>\n",
|
||
" <td>(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,...</td>\n",
|
||
" <td>4956.91</td>\n",
|
||
" <td>0.60</td>\n",
|
||
" <td>14199.32</td>\n",
|
||
" <td>22481.92</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>5</td>\n",
|
||
" <td>4</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>[2244.0521726170327, 914.5813215839368, 1017.1...</td>\n",
|
||
" <td>[0.4527116022474781, 0.18450621626903674, 0.20...</td>\n",
|
||
" <td>[0.4527116022474781, 0.18450621626903674, 0.20...</td>\n",
|
||
" <td>[inf, 1322469.5370917062, inf, inf, 10027.7572...</td>\n",
|
||
" <td>[0.0, 0.00048172521592261265, 0.0, 0.0, 1.1102...</td>\n",
|
||
" <td>[4, 4, 4, 4, 4, 4, 4, 3]</td>\n",
|
||
" <td>[4, 4, 4, 4, 4, 4, 4, 4, 3, 3]</td>\n",
|
||
" <td>[7065.705994471494, 637.0669233065797, 4584.38...</td>\n",
|
||
" <td>[inf, 1322469.5370917062, inf, nan, inf, 10027...</td>\n",
|
||
" <td>[0.0, 0.00048172521592261265, 0.0, nan, 0.0, 1...</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>25</th>\n",
|
||
" <td>(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,...</td>\n",
|
||
" <td>4822.90</td>\n",
|
||
" <td>0.70</td>\n",
|
||
" <td>14199.32</td>\n",
|
||
" <td>22504.41</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>0</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>5</td>\n",
|
||
" <td>5</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>[2244.0521726170327, 914.5813215839368, 1017.1...</td>\n",
|
||
" <td>[0.4652908602865078, 0.18963299299119477, 0.21...</td>\n",
|
||
" <td>[0.4652908602865078, 0.18963299299119477, 0.21...</td>\n",
|
||
" <td>[inf, 1182994.2457984674, inf, inf, inf, 8630....</td>\n",
|
||
" <td>[0.0, 0.0013376523855127432, 0.0, 0.0, 0.0, 0....</td>\n",
|
||
" <td>[5, 5, 5, 5, 5, 5, 4, 1]</td>\n",
|
||
" <td>[5, 5, 5, 5, 5, 5, 5, 5, 4, 4, 1, 1]</td>\n",
|
||
" <td>[10964.819054999094, 1582.4350749401683, 5329....</td>\n",
|
||
" <td>[inf, 1182994.2457984674, inf, nan, inf, 10010...</td>\n",
|
||
" <td>[0.0, 0.0013376523855127432, 0.0, nan, 0.0, na...</td>\n",
|
||
" </tr>\n",
|
||
" </tbody>\n",
|
||
"</table>\n",
|
||
"<p>5 rows × 33 columns</p>\n",
|
||
"</div>"
|
||
],
|
||
"text/plain": [
|
||
" network funds sentiment \\\n",
|
||
"5 (0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,... 4889.60 0.60 \n",
|
||
"10 (0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,... 4912.02 0.60 \n",
|
||
"15 (0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,... 4934.45 0.60 \n",
|
||
"20 (0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,... 4956.91 0.60 \n",
|
||
"25 (0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,... 4822.90 0.70 \n",
|
||
"\n",
|
||
" effective_supply total_supply simulation subset run substep \\\n",
|
||
"5 14064.06 22414.61 0 0 1 5 \n",
|
||
"10 14064.06 22437.03 0 0 1 5 \n",
|
||
"15 14199.32 22459.46 0 0 1 5 \n",
|
||
"20 14199.32 22481.92 0 0 1 5 \n",
|
||
"25 14199.32 22504.41 0 0 1 5 \n",
|
||
"\n",
|
||
" timestep ... funds_requested \\\n",
|
||
"5 1 ... [2244.0521726170327, 914.5813215839368, 1017.1... \n",
|
||
"10 2 ... [2244.0521726170327, 914.5813215839368, 1017.1... \n",
|
||
"15 3 ... [2244.0521726170327, 914.5813215839368, 1017.1... \n",
|
||
"20 4 ... [2244.0521726170327, 914.5813215839368, 1017.1... \n",
|
||
"25 5 ... [2244.0521726170327, 914.5813215839368, 1017.1... \n",
|
||
"\n",
|
||
" share_of_funds_requested \\\n",
|
||
"5 [0.45894370782108995, 0.18704616049195447, 0.2... \n",
|
||
"10 [0.45684944682952705, 0.1861926277582785, 0.20... \n",
|
||
"15 [0.454772146364351, 0.1853460074221069, 0.2061... \n",
|
||
"20 [0.4527116022474781, 0.18450621626903674, 0.20... \n",
|
||
"25 [0.4652908602865078, 0.18963299299119477, 0.21... \n",
|
||
"\n",
|
||
" share_of_funds_requested_all \\\n",
|
||
"5 [0.45894370782108995, 0.18704616049195447, 0.2... \n",
|
||
"10 [0.45684944682952705, 0.1861926277582785, 0.20... \n",
|
||
"15 [0.454772146364351, 0.1853460074221069, 0.2061... \n",
|
||
"20 [0.4527116022474781, 0.18450621626903674, 0.20... \n",
|
||
"25 [0.4652908602865078, 0.18963299299119477, 0.21... \n",
|
||
"\n",
|
||
" triggers \\\n",
|
||
"5 [inf, 1917290.4085387064, inf, inf, 9952.88318... \n",
|
||
"10 [inf, 1676268.4844376259, inf, inf, 9966.65937... \n",
|
||
"15 [inf, 1475429.753355764, inf, inf, 9949.352772... \n",
|
||
"20 [inf, 1322469.5370917062, inf, inf, 10027.7572... \n",
|
||
"25 [inf, 1182994.2457984674, inf, inf, inf, 8630.... \n",
|
||
"\n",
|
||
" conviction_share_of_trigger \\\n",
|
||
"5 [0.0, 9.990438364111072e-06, 0.0, 0.0, 0.17254... \n",
|
||
"10 [0.0, 2.1425459096839005e-05, 0.0, 0.0, 0.4415... \n",
|
||
"15 [0.0, 0.00026126860129941016, 0.0, 0.0, 0.8073... \n",
|
||
"20 [0.0, 0.00048172521592261265, 0.0, 0.0, 1.1102... \n",
|
||
"25 [0.0, 0.0013376523855127432, 0.0, 0.0, 0.0, 0.... \n",
|
||
"\n",
|
||
" age age_all \\\n",
|
||
"5 [1, 1, 1, 1, 1, 1, 1] [1, 1, 1, 1, 1, 1, 1, 1] \n",
|
||
"10 [2, 2, 2, 2, 2, 2, 2, 1] [2, 2, 2, 2, 2, 2, 2, 2, 1, 1] \n",
|
||
"15 [3, 3, 3, 3, 3, 3, 3, 2] [3, 3, 3, 3, 3, 3, 3, 3, 2, 2] \n",
|
||
"20 [4, 4, 4, 4, 4, 4, 4, 3] [4, 4, 4, 4, 4, 4, 4, 4, 3, 3] \n",
|
||
"25 [5, 5, 5, 5, 5, 5, 4, 1] [5, 5, 5, 5, 5, 5, 5, 5, 4, 4, 1, 1] \n",
|
||
"\n",
|
||
" conviction_all \\\n",
|
||
"5 [1449.414631868775, 19.154571652607284, 959.38... \n",
|
||
"10 [3215.4540034448446, 35.91482184863866, 2204.5... \n",
|
||
"15 [5493.660845229355, 385.4834679747942, 3425.95... \n",
|
||
"20 [7065.705994471494, 637.0669233065797, 4584.38... \n",
|
||
"25 [10964.819054999094, 1582.4350749401683, 5329.... \n",
|
||
"\n",
|
||
" triggers_all \\\n",
|
||
"5 [inf, 1917290.4085387064, inf, inf, inf, 9952.... \n",
|
||
"10 [inf, 1676268.4844376259, inf, nan, inf, 9966.... \n",
|
||
"15 [inf, 1475429.753355764, inf, nan, inf, 9949.3... \n",
|
||
"20 [inf, 1322469.5370917062, inf, nan, inf, 10027... \n",
|
||
"25 [inf, 1182994.2457984674, inf, nan, inf, 10010... \n",
|
||
"\n",
|
||
" conviction_share_of_trigger_all \n",
|
||
"5 [0.0, 9.990438364111072e-06, 0.0, 0.0, 0.0, 0.... \n",
|
||
"10 [0.0, 2.1425459096839005e-05, 0.0, nan, 0.0, 0... \n",
|
||
"15 [0.0, 0.00026126860129941016, 0.0, nan, 0.0, 0... \n",
|
||
"20 [0.0, 0.00048172521592261265, 0.0, nan, 0.0, 1... \n",
|
||
"25 [0.0, 0.0013376523855127432, 0.0, nan, 0.0, na... \n",
|
||
"\n",
|
||
"[5 rows x 33 columns]"
|
||
]
|
||
},
|
||
"execution_count": 25,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"df.head(5)"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 26,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"text/plain": [
|
||
"<matplotlib.axes._subplots.AxesSubplot at 0x7f86adcaaed0>"
|
||
]
|
||
},
|
||
"execution_count": 26,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
},
|
||
{
|
||
"data": {
|
||
"image/png": 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\n",
|
||
"text/plain": [
|
||
"<Figure size 432x288 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {
|
||
"needs_background": "light"
|
||
},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"df.plot('timestep','sentiment')"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 27,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"text/plain": [
|
||
"<matplotlib.axes._subplots.AxesSubplot at 0x7f86aab13f50>"
|
||
]
|
||
},
|
||
"execution_count": 27,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
},
|
||
{
|
||
"data": {
|
||
"image/png": 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\n",
|
||
"text/plain": [
|
||
"<Figure size 432x288 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {
|
||
"needs_background": "light"
|
||
},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"df.plot('timestep',['funds', 'candidate_funds'])"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"Funds are the total available funds, whereas candidate funds show how many funds are requested by candidate proposals."
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 28,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"image/png": 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\n",
|
||
"text/plain": [
|
||
"<Figure size 612x792 with 2 Axes>"
|
||
]
|
||
},
|
||
"metadata": {
|
||
"needs_background": "light"
|
||
},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"affinities_plot(df)"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 29,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"text/plain": [
|
||
"<matplotlib.legend.Legend at 0x7f865787b8d0>"
|
||
]
|
||
},
|
||
"execution_count": 29,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
},
|
||
{
|
||
"data": {
|
||
"image/png": 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\n",
|
||
"text/plain": [
|
||
"<Figure size 432x288 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {
|
||
"needs_background": "light"
|
||
},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"df.plot(x='timestep',y=['candidate_count','active_count','completed_count', 'killed_count', 'failed_count'],\n",
|
||
" kind='area')\n",
|
||
"plt.title('Proposal Status')\n",
|
||
"plt.ylabel('count of proposals')\n",
|
||
"plt.legend(ncol = 3,loc='upper center', bbox_to_anchor=(0.5, -0.15))"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 30,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"text/plain": [
|
||
"<matplotlib.legend.Legend at 0x7f8659333890>"
|
||
]
|
||
},
|
||
"execution_count": 30,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
},
|
||
{
|
||
"data": {
|
||
"image/png": 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\n",
|
||
"text/plain": [
|
||
"<Figure size 432x288 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {
|
||
"needs_background": "light"
|
||
},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"df.plot(x='timestep',y=['candidate_funds','active_funds','completed_funds', 'killed_funds', 'failed_funds'], kind='area')\n",
|
||
"plt.title('Proposal Status weighted by funds requested')\n",
|
||
"plt.ylabel('Funds worth of proposals')\n",
|
||
"plt.legend(ncol = 3,loc='upper center', bbox_to_anchor=(0.5, -0.15))"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 31,
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"nets = df.network.values"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 32,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"image/png": 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\n",
|
||
"text/plain": [
|
||
"<Figure size 432x288 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"K = 0\n",
|
||
"N = 1\n",
|
||
"\n",
|
||
"snap_plot(nets[K:N], size_scale = 1/300,savefigs=True)"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"On the left side are participants, with the right side of the graph being the proposals. With this graph, we can see the links between the participants and the proposals that they support. The percentage on the right hand are the the amount of the required amount to pass that has been fulfilled.\n",
|
||
"\n",
|
||
"You can move the K and N to different points within the 100 timesteps, 0 indexed, to see how the model evolves overtime. \n",
|
||
"\n",
|
||
"As you can see with the plot above at the start of the simulation, no proposals have been formally supported yet. Below we can see a many interactions between agents and proposals."
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 33,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"image/png": 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\n",
|
||
"text/plain": [
|
||
"<Figure size 432x288 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"snap_plot(nets[80:81], size_scale = 1/300,savefigs=True)"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 34,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"text/plain": [
|
||
"<matplotlib.axes._subplots.AxesSubplot at 0x7f86ab0cc290>"
|
||
]
|
||
},
|
||
"execution_count": 34,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
},
|
||
{
|
||
"data": {
|
||
"image/png": 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\n",
|
||
"text/plain": [
|
||
"<Figure size 432x288 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {
|
||
"needs_background": "light"
|
||
},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"df.plot('timestep',['effective_supply'])"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 35,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"text/plain": [
|
||
"<matplotlib.axes._subplots.AxesSubplot at 0x7f8613e77350>"
|
||
]
|
||
},
|
||
"execution_count": 35,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
},
|
||
{
|
||
"data": {
|
||
"image/png": 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\n",
|
||
"text/plain": [
|
||
"<Figure size 432x288 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {
|
||
"needs_background": "light"
|
||
},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"df.plot('timestep',['participant_count'])"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"As expected *effective_supply* is increasing with the arrival of new participants."
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"metadata": {},
|
||
"source": [
|
||
"## Conclusion\n",
|
||
"\n",
|
||
"We have created a conviction voting model that closely adheres to the 1Hive implementation. This notebook describes the use case, how the model works, and provides descriptions of how it fits together."
|
||
]
|
||
}
|
||
],
|
||
"metadata": {
|
||
"kernelspec": {
|
||
"display_name": "Python 3",
|
||
"language": "python",
|
||
"name": "python3"
|
||
},
|
||
"language_info": {
|
||
"codemirror_mode": {
|
||
"name": "ipython",
|
||
"version": 3
|
||
},
|
||
"file_extension": ".py",
|
||
"mimetype": "text/x-python",
|
||
"name": "python",
|
||
"nbconvert_exporter": "python",
|
||
"pygments_lexer": "ipython3",
|
||
"version": "3.7.5"
|
||
}
|
||
},
|
||
"nbformat": 4,
|
||
"nbformat_minor": 2
|
||
}
|