Evolution of communication with a spatialized genetic algorithm

Abstract

We extend previous work by modeling evolution of communication using a spatialized genetic algorithm which recombines strategies purely locally. Here cellular automata are used as a spatialized environment in which individuals gain points by capturing drifting food items and are 'harmed' if they fail to hide from migrating predators. Our individuals are capable of making one of two arbitrary sounds, heard only locally by their immediate neighbors. They can respond to sounds from their neighbors by opening their mouths or by hiding. By opening their mouths in the presence of food they maximize gains; by hiding when a predator is present they minimize losses. We consider the result a 'natural' template for benefits from communication; unlike a range of other studies, it is here only the recipient of communicated information that immediately benefits.

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2009-01-28

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Patrick Grim
University of Michigan, Ann Arbor

Citations of this work

Simulating Grice: Emergent Pragmatics in Spatialized Game Theory.Patrick Grim - 2011 - In Anton Benz, Christian Ebert & Robert van Rooij (eds.), Language, Games, and Evolution. Springer-Verlag.
Making Meaning Happen.Patrick Grim - 2004 - Journal for Experimental and Theoretical Artificial Intelligence 16:209-244.
Location, location, location: The importance of spatialization in modeling cooperation and communication.Patrick Grim, Stephanie Wardach & Vincent Beltrani - 2006 - Interaction Studiesinteraction Studies Social Behaviour and Communication in Biological and Artificial Systems 7 (1):43-78.

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