Document Detail


Two-level evolution of foraging agent communities.
MedLine Citation:
PMID:  12204439     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
This paper presents simulation results of artificial foraging agent communities. The goal of each agent in the community is to find food. Once a food source is found, agents eat portions of it and carry some other portions to the nest (in a manner similar to ants) until the food is depleted. Agents may also communicate food positions when they are near each other. They are given a set of genes that control several characteristics, such as their activity, memory, scepticism, lying, etc. These genes are recombined and propagated by means of sexual reproduction. When one nest is superpopulated with agents, it can break in two nests. Agents can communicate only with those belonging to the same nest, which gives rise to emergent situations of competition and cooperation between the agents in the same nest, as well as competition between different nests. Other emergent phenomena such as the propagation of rumours are also studied.
Authors:
Manuel Alfonseca; Juan de Lara
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  Bio Systems     Volume:  66     ISSN:  0303-2647     ISO Abbreviation:  BioSystems     Publication Date:    2002 Jun-Jul
Date Detail:
Created Date:  2002-09-02     Completed Date:  2002-12-04     Revised Date:  2006-11-15    
Medline Journal Info:
Nlm Unique ID:  0430773     Medline TA:  Biosystems     Country:  Ireland    
Other Details:
Languages:  eng     Pagination:  21-30     Citation Subset:  IM    
Affiliation:
Department Ingenieri;a Informática, Universidad Autónoma de Madrid, Ctra. De Colmenar, km. 15, Spain.
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MeSH Terms
Descriptor/Qualifier:
Animals
Computer Simulation
Ecosystem*
Evolution*
Food Chain*

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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