Document Detail


Communication and common interest.
MedLine Citation:
PMID:  24244116     Owner:  NLM     Status:  In-Data-Review    
Abstract/OtherAbstract:
Explaining the maintenance of communicative behavior in the face of incentives to deceive, conceal information, or exaggerate is an important problem in behavioral biology. When the interests of agents diverge, some form of signal cost is often seen as essential to maintaining honesty. Here, novel computational methods are used to investigate the role of common interest between the sender and receiver of messages in maintaining cost-free informative signaling in a signaling game. Two measures of common interest are defined. These quantify the divergence between sender and receiver in their preference orderings over acts the receiver might perform in each state of the world. Sampling from a large space of signaling games finds that informative signaling is possible at equilibrium with zero common interest in both senses. Games of this kind are rare, however, and the proportion of games that include at least one equilibrium in which informative signals are used increases monotonically with common interest. Common interest as a predictor of informative signaling also interacts with the extent to which agents' preferences vary with the state of the world. Our findings provide a quantitative description of the relation between common interest and informative signaling, employing exact measures of common interest, information use, and contingency of payoff under environmental variation that may be applied to a wide range of models and empirical systems.
Authors:
Peter Godfrey-Smith; Manolo Martínez
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Publication Detail:
Type:  Journal Article     Date:  2013-11-07
Journal Detail:
Title:  PLoS computational biology     Volume:  9     ISSN:  1553-7358     ISO Abbreviation:  PLoS Comput. Biol.     Publication Date:  2013 Nov 
Date Detail:
Created Date:  2013-11-18     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  101238922     Medline TA:  PLoS Comput Biol     Country:  United States    
Other Details:
Languages:  eng     Pagination:  e1003282     Citation Subset:  IM    
Affiliation:
Philosophy Program, The Graduate Center CUNY, New York City, New York, United States of America.
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