Effect of Environmental Structure on Evolutionary Adaptation

In R. Belew C. Adami (ed.), Artificial Life VI: Proceedings of the Sixth International Conference on Artificial Life. Cambridge: MIT Press. pp. 189-198 (1998)
Download Edit this record How to cite View on PhilPapers
Abstract
This paper investigates how environmental structure, given the innate properties of a population, affects the degree to which this population can adapt to the environment. The model we explore involves simple agents in a 2-d world which can sense a local food distribution and, as specified by their genomes, move to a new location and ingest the food there. Adaptation in this model consists of improving the genomic sensorimotor mapping so as to maximally exploit the environmental resources. We vary environmental structure to see its specific effect on adaptive success. In our investigation, two properties of environmental structure, conditioned by the sensorimotor capacities of the agents, have emerged as significant factors in determining adaptive success: (1) the information content of the environment which quantifies the diversity of conditions sensed, and (2) the expected utility for optimal action. These correspond to the syntactic and pragmatic aspects of environmental information, respectively. We find that the ratio of expected utility to information content predicts adaptive success measured by population gain and information content alone predicts the fraction of ideal utility achieved. These quantitative methods and specific conclusions should aid in understanding the effects of environmental structure on evolutionary adaptation in a wide range of evolving systems, both artificial and natural.
Reprint years
1998
PhilPapers/Archive ID
FLEEOE
Revision history
First archival date: 2016-09-07
Latest version: 1 (2017-02-27)
View upload history
Chapters BETA
References found in this work BETA

No references found.

Add more references

Citations of this work BETA

No citations found.

Add more citations

Added to PP index
2010-12-22

Total views
132 ( #23,681 of 43,762 )

Recent downloads (6 months)
21 ( #28,958 of 43,762 )

How can I increase my downloads?

Downloads since first upload
This graph includes both downloads from PhilArchive and clicks to external links.