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cadCAD
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update desc seperate

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Joshua E. Jodesty 2019-09-07 18:59:41 -04:00
parent 99495d08dc
commit 8e76f3323b
3 changed files with 19 additions and 10 deletions
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.gitignore vendored
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@ -3,6 +3,7 @@ jupyter notebook
.ipynb_checkpoints
.DS_Store
.idea
.pytest_cache/
notebooks
*.egg-info
__pycache__

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README.md
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@ -32,7 +32,7 @@ under various conditions. Support for A/B testing policies, Monte Carlo analysis
provided.
In essence, cadCAD tool allows us to represent a company’s or community’s current business model along with a desired
For example, cadCAD tool allows us to represent a company’s or community’s current business model along with a desired
future state and helps make informed, rigorously tested decisions on how to get from today’s stage to the future state.
It allows us to use code to solidify our conceptualized ideas and see if the outcome meets our expectations. We can
iteratively refine our work until we have constructed a model that closely reflects reality at the start of the model,

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setup.py
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@ -1,14 +1,22 @@
from setuptools import setup, find_packages
long_description = "cadCAD is a differential games based simulation software package for research, validation, and \
Computer Aided Design of economic systems. An economic system is treated as a state based model and defined through \
a set of endogenous and exogenous state variables which are updated through mechanisms and environmental processes, \
respectively. Behavioral models, which may be deterministic or stochastic, provide the evolution of the system \
within the action space of the mechanisms. Mathematical formulations of these economic games treat agent utility as \
derived from state rather than direct from action, creating a rich dynamic modeling framework. Simulations may be \
run with a range of initial conditions and parameters for states, behaviors, mechanisms, and environmental \
processes to understand and visualize network behavior under various conditions. Support for A/B testing policies, \
monte carlo analysis and other common numerical methods is provided."
long_description = """
cadCAD (complex adaptive systems computer-aided design) is a python based, unified modeling framework for stochastic
dynamical systems and differential games for research, validation, and Computer Aided Design of economic systems created
by BlockScience. It is capable of modeling systems at all levels of abstraction from Agent Based Modeling (ABM) to
System Dynamics (SD), and enabling smooth integration of computational social science simulations with empirical data
science workflows.
An economic system is treated as a state-based model and defined through a set of endogenous and exogenous state
variables which are updated through mechanisms and environmental processes, respectively. Behavioral models, which may
be deterministic or stochastic, provide the evolution of the system within the action space of the mechanisms.
Mathematical formulations of these economic games treat agent utility as derived from the state rather than direct from
an action, creating a rich, dynamic modeling framework. Simulations may be run with a range of initial conditions and
parameters for states, behaviors, mechanisms, and environmental processes to understand and visualize network behavior
under various conditions. Support for A/B testing policies, Monte Carlo analysis, and other common numerical methods is
provided.
"""
setup(name='cadCAD',
version='0.3.0',