Paper Info
Title
How Producer Biases Can Favor the Evolution of Communication: An Analysis of Evolutionary Dynamics
Abstract
Like any other biological trait, communication can be studied from at least four perspectives: mechanistic, ontogenetic, functional, and phylogenetic. In this article, we focus on the following phylogenetic question: how can communication emerge, given that both signal-producing and signal-responding abilities seem to be adaptively neutral until the complementary ability is present in the population? We explore the problem of co-evolution of speakers and hearers with artificial life simulations: a population of artificial neural networks evolving a food call system. The core of the article is devoted to a careful analysis of the complex evolutionary dynamics demonstrated by our simple simulation. Our analyses reveal an important factor, which might solve the phylogenetic problem: the spontaneous production of good (meaningful) signals by speakers because of the need for organisms to categorize their experience in adaptively relevant ways. We discuss our results with respect both to previous simulative work and to the biological literature on the evolution of communication.
Year
DOI
Venue
2008
10.1177/1059712307087597
Adaptive Behaviour
Keywords
Field
DocType
artificial life simulation,adaptively relevant way,biological trait,evolutionary dynamics,following phylogenetic question,receiver bias,producer bias,artificial neural network,complementary ability,phylogenetic problem,biological literature,complex evolutionary dynamic,evolution of communication,careful analysis,producer biases,artificial life
Artificial life,Categorization,Population,Phylogenetic tree,Trait,Computer science,Artificial intelligence,Evolutionary dynamics,Artificial neural network,Mechanism (philosophy),Machine learning
Journal
Volume
Issue
ISSN
16
1
1059-7123
Citations 
PageRank 
References 
6
0.55
14
Authors
2
Name
Order
Citations
PageRank
Marco Mirolli110811.99
Domenico Parisi2745101.62