Information Trade-Offs and the Evolution of Sensory Layout

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Abstract

In nature, sensors evolve to capture relevant information needed for organisms of a particular species to survive and reproduce. In this paper we study how sensor layouts may evolve in different environments and under pressure of different--informational constraints. To do this we evolve sensor--layouts for different environments and constraints using a fitness measure with weighted terms for redundancy and novelty, using, respectively, mutual information and Crutchfield s information metric. The results show how different sensor layouts evolve depending on the structure and complexity of the environment but also how selective pressure for--redundancy or novelty might affect the design.
Original languageEnglish
Pages (from-to)119-124
JournalProceedings of the Ninth International Conference on Artificial Life
Publication statusPublished - 2004

Keywords

  • Computer Science

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