Evolution of communicating individuals

Leonardo Bocchi, Sara Lapi, Lucia Ballerini

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Verbal communication between individuals requires the parallel evolution of a vocal system capable of emitting different sounds and of an auditory system able to recognize each vocal pattern. In this work we present the evolution of a population of twins where the selection pressure is based on the ability of learning a communication pattern which allows verbal transmission of information. The fitness of each pair of twins (i.e. individuals having the same genotype) is based on the percentage of correct recognition of the perceived sounds. Results indicate the evolved communication system, in absence of noise, rapidly evolves and reaches almost 100% correct classifications, while, even in presence of a strong noise either in the channel, or in the sound generation parameters, the system can obtain a very good performance (approximately 80% correct classifications in the worst case).
Original languageEnglish
Title of host publicationApplications of Evolutionary Computation
Subtitle of host publicationEvoApplicatons 2010: EvoCOMPLEX, EvoGAMES, EvoIASP, EvoINTELLIGENCE, EvoNUM, and EvoSTOC, Istanbul, Turkey, April 7-9, 2010, Proceedings, Part I
PublisherSpringer Berlin Heidelberg
Pages328-335
Number of pages8
ISBN (Electronic)978-3-642-12239-2
ISBN (Print)978-3-642-12238-5
DOIs
Publication statusPublished - 2010

Publication series

NameLecture Notes in Computer Science
PublisherSpringer Berlin Heidelberg
Volume6024
ISSN (Print)0302-9743

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