Evolution of hunter–gatherer strategies with a genetically inspired algorithm

Sutton, Patrick J. ORCID: https://orcid.org/0000-0003-1614-3922, Georgallas, A., Hunter, D. L., Jan, N., Nash, R. J. and Quinn, J P. 1998. Evolution of hunter–gatherer strategies with a genetically inspired algorithm. International Journal of Modern Physics C 9 (4) , 547. 10.1142/S0129183198000455

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Abstract

We address the following: Are there several optimal strategies for a hunter-gatherer society in a given environment, in which the society has an evolving level of technology and/or skills? We use the Genetic Algorithm, with point mutations, to facilitate the search for these strategies. We find that, in a generous environment, several optimal strategies are possible; there is no unique optimal strategy. We are now in a position, with the Genetic Algorithm, to assess different approaches to resource exploitation and the role of contingency.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Physics and Astronomy
Subjects:	Q Science > QC Physics
Uncontrolled Keywords:	Hunter-Gatherer; Evolutionary Skills; Genetic Algorithm; Optimal Strategies
Publisher:	World Scientific Publishing
ISSN:	0129-1831
Last Modified:	13 Jan 2023 03:22
URI:	https://orca.cardiff.ac.uk/id/eprint/35990

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