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.
|Journal||Proceedings of the Ninth International Conference on Artificial Life|
|Publication status||Published - 2004|
- Computer Science