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This project forked from openai/multiagent-particle-envs

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Code for simulating co-evolution in a predator-prey model that both utilize NEAT for evolution. Forked from openai/multiagent-particle-envs to use the environment. Report found at:

Home Page: https://github.com/vin-nag/multiagent-particle-envs/blob/master/report.pdf

License: MIT License

Python 99.79% Smarty 0.01% Makefile 0.01% C 0.02% MATLAB 0.02% Fortran 0.02% TeX 0.14%

red-queens-hypothesis's Introduction

The Red Queens Hypothesis:

Does Selection Pressure Affect Co-evolution in a Predator-Prey Model?

This project investigates whether the strength of selection pressure exerted by the predator on the prey in a predator-prey relationship affects their co-evolution behaviour. More information is found in the report

Note that the majority of this code is forked from: https://github.com/openai/multiagent-particle-envs with modifications made to suit the project

Replicating Results:

  • To run the experiments, run: project_NEAT.py

  • Known dependencies: Python (3.5.4), OpenAI gym (0.10.5), numpy (1.14.5) neat-python (0.92)

red-queens-hypothesis's People

Contributors

ryan-lowe avatar logicgan avatar christopherhesse avatar vin-nag avatar asrvsn avatar rzilleruelo avatar mordatch avatar

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