Evolution of Virtual Creature Foraging in a Physical Environment

Pilat, Marcin L., Takashi Ito, Reiji Suzuki, and Takaya Arita. “Evolution of virtual creature foraging in a physical environment.” In ALIFE 2012: The Thirteenth International Conference on the Synthesis and Simulation of Living Systems , pp. 423-430. MIT Press, 2012.
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We present the results of evolving articulated virtual creature foraging in a 3D physically simulated environment filled with stationary food objects. Simple block creatures with
sigmoidal neural networks are evolved through a genetic algorithm using a fitness function based on the consumption amount. The results show the evolution of successful foraging behaviors performing well in environments with various food distributions. We analyze the foraging based on its efficiency, creature morphologies, movement strategies, and the
food density and entropy in the simulation environment.

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