The evolution of information suppression in communicating robots with conflicting interests.
Details
State: Public
Version: Final published version
Serval ID
serval:BIB_52EA29C50A63
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
The evolution of information suppression in communicating robots with conflicting interests.
Journal
Proceedings of the National Academy of Sciences of the United States of America
ISSN
1091-6490[electronic]
Publication state
Published
Issued date
2009
Peer-reviewed
Oui
Volume
106
Number
37
Pages
15786-15790
Language
english
Abstract
Reliable information is a crucial factor influencing decision-making and, thus, fitness in all animals. A common source of information comes from inadvertent cues produced by the behavior of conspecifics. Here we use a system of experimental evolution with robots foraging in an arena containing a food source to study how communication strategies can evolve to regulate information provided by such cues. The robots could produce information by emitting blue light, which the other robots could perceive with their cameras. Over the first few generations, the robots quickly evolved to successfully locate the food, while emitting light randomly. This behavior resulted in a high intensity of light near food, which provided social information allowing other robots to more rapidly find the food. Because robots were competing for food, they were quickly selected to conceal this information. However, they never completely ceased to produce information. Detailed analyses revealed that this somewhat surprising result was due to the strength of selection on suppressing information declining concomitantly with the reduction in information content. Accordingly, a stable equilibrium with low information and considerable variation in communicative behaviors was attained by mutation selection. Because a similar coevolutionary process should be common in natural systems, this may explain why communicative strategies are so variable in many animal species.
Pubmed
Web of science
Open Access
Yes
Create date
14/07/2009 17:16
Last modification date
20/08/2019 15:08