40 lines
2.0 KiB
Python
40 lines
2.0 KiB
Python
from setuptools import setup, find_packages
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long_description = """
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cadCAD (complex adaptive systems computer-aided design) is a python based, unified modeling framework for stochastic
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dynamical systems and differential games for research, validation, and Computer Aided Design of economic systems created
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by BlockScience. It is capable of modeling systems at all levels of abstraction from Agent Based Modeling (ABM) to
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System Dynamics (SD), and enabling smooth integration of computational social science simulations with empirical data
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science workflows.
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An economic system is treated as a state-based model and defined through a set of endogenous and exogenous state
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variables which are updated through mechanisms and environmental processes, respectively. Behavioral models, which may
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be deterministic or stochastic, provide the evolution of the system within the action space of the mechanisms.
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Mathematical formulations of these economic games treat agent utility as derived from the state rather than direct from
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an action, creating a rich, dynamic modeling framework. Simulations may be run with a range of initial conditions and
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parameters for states, behaviors, mechanisms, and environmental processes to understand and visualize network behavior
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under various conditions. Support for A/B testing policies, Monte Carlo analysis, and other common numerical methods is
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provided.
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"""
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setup(name='cadCAD',
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version='0.3.1',
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description="cadCAD: a differential games based simulation software package for research, validation, and \
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Computer Aided Design of economic systems",
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long_description=long_description,
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url='https://github.com/BlockScience/cadCAD',
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author='Joshua E. Jodesty',
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author_email='joshua@block.science, joshua.jodesty@gmail.com',
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license='LICENSE.txt',
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packages=find_packages(),
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install_requires=[
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"pandas",
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"wheel",
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"pathos",
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"fn",
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"tabulate",
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"funcy"
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]
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)
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