Stochastic simulation of inherited kinship-driven altruism

H Turner; D Kazakov

Stochastic simulation of inherited kinship-driven altruism

Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

The aim of this research is to assess the role of a hypothetical inherited feature (gene) promoting altruism between relatives as a factor for survival in the context of a multi-agent system simulating natural selection. Classical Darwinism and Neo-Darwinism are compared, and the principles of the latter are implemented in the system. The experiments study the factors that influence the successful propagation of altruistic behaviour in the population. The results show that the natural phenomenon of kinship-driven altruism has been successfully replicated in a multi-agent system, which implements a model of natural selection different from the one commonly used in genetic algorithms and multiagent systems, and closer to nature.

Original language	English
Title of host publication	ADAPTIVE AGENTS AND MULTI-AGENT SYSTEMS
Editors	E Alonso, D Kudenko, D Kazakov
Place of Publication	BERLIN
Publisher	Springer
Pages	187-201
Number of pages	15
ISBN (Print)	3-540-40068-0
Publication status	Published - 2003

Keywords

GENETICAL EVOLUTION

Cite this

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title = "Stochastic simulation of inherited kinship-driven altruism",

abstract = "The aim of this research is to assess the role of a hypothetical inherited feature (gene) promoting altruism between relatives as a factor for survival in the context of a multi-agent system simulating natural selection. Classical Darwinism and Neo-Darwinism are compared, and the principles of the latter are implemented in the system. The experiments study the factors that influence the successful propagation of altruistic behaviour in the population. The results show that the natural phenomenon of kinship-driven altruism has been successfully replicated in a multi-agent system, which implements a model of natural selection different from the one commonly used in genetic algorithms and multiagent systems, and closer to nature.",

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AU - Kazakov, D

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N2 - The aim of this research is to assess the role of a hypothetical inherited feature (gene) promoting altruism between relatives as a factor for survival in the context of a multi-agent system simulating natural selection. Classical Darwinism and Neo-Darwinism are compared, and the principles of the latter are implemented in the system. The experiments study the factors that influence the successful propagation of altruistic behaviour in the population. The results show that the natural phenomenon of kinship-driven altruism has been successfully replicated in a multi-agent system, which implements a model of natural selection different from the one commonly used in genetic algorithms and multiagent systems, and closer to nature.

AB - The aim of this research is to assess the role of a hypothetical inherited feature (gene) promoting altruism between relatives as a factor for survival in the context of a multi-agent system simulating natural selection. Classical Darwinism and Neo-Darwinism are compared, and the principles of the latter are implemented in the system. The experiments study the factors that influence the successful propagation of altruistic behaviour in the population. The results show that the natural phenomenon of kinship-driven altruism has been successfully replicated in a multi-agent system, which implements a model of natural selection different from the one commonly used in genetic algorithms and multiagent systems, and closer to nature.

KW - GENETICAL EVOLUTION

M3 - Conference contribution

SN - 3-540-40068-0

SP - 187

EP - 201

BT - ADAPTIVE AGENTS AND MULTI-AGENT SYSTEMS

A2 - Alonso, E

A2 - Kudenko, D

A2 - Kazakov, D

PB - Springer

CY - BERLIN

ER -