Zaidenbergs learning model for the evolution of altruistically cooperative behavior

Nezer Jacob Zaidenberg, Illan Eshel

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

One of the most interesting puzzles in the study of evolution in biology and cultural evolution in social sciences is the evolution of altruism. As well as the survival of altruistic behavior in a society. In the study of evolution of altruism we refer to any behaviour the agent may take that damages his the agent own fitness in return for increased fitness for other members of the group. One of the common responses to the evolution of altruism is the creation of deme structured population in which agents are more likely to interact with their neighbors then with random members of the populations, encouraging the creation of "altruistic" islands in the population where altruists interact among themselves. In this paper we present a population model allowing for survival and stability of altruistic behavior and extend it to demonstrate how altruistic behavior could evolve.

Original languageEnglish
Title of host publicationECCOMAS 2012 - European Congress on Computational Methods in Applied Sciences and Engineering, e-Book Full Papers
Pages6952-6957
Number of pages6
StatePublished - 2012
Event6th European Congress on Computational Methods in Applied Sciences and Engineering, ECCOMAS 2012 - Vienna, Austria
Duration: 10 Sep 201214 Sep 2012

Publication series

NameECCOMAS 2012 - European Congress on Computational Methods in Applied Sciences and Engineering, e-Book Full Papers

Conference

Conference6th European Congress on Computational Methods in Applied Sciences and Engineering, ECCOMAS 2012
Country/TerritoryAustria
CityVienna
Period10/09/1214/09/12

Keywords

  • Deme structure
  • Evolution of Altruism
  • Population dynamics

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