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robin gras

An evolving predator-prey ecosystem simulation

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We have created a generic platform to simulate complex ecosystems with intelligent predator and prey agents interacting and evolving in a large and dynamic environment.

 

We have chosen to implement an individual-based model, built upon the predator–prey paradigm. The novelty of our model stems from the fact that each agent behavior is modeled by a fuzzy cognitive map (FCM, a computational tool, similar to a neural network, based on a graph that represents interaction between concepts, such as emotions and desires, perception or action), and evolves during the simulation. The FCM of each agent is unique, and is the outcome of the evolution process going on throughout the simulation. The notion of species is also implemented, in a way that species emerge from the evolution of agents. To our knowledge, our system has been the first one allowing modeling the links between speciation and individual behavior.

More information about the project and some videos of the running simulation are available at: http://sites.google.com/site/ecosimgroup/research/ecosystem-simulation

 

 

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