Indirect co-evolution for understanding belief in an incomplete information dynamic game

Jin, Nanlin (2006) Indirect co-evolution for understanding belief in an incomplete information dynamic game. In: Proceedings of the 8th annual conference on Genetic and evolutionary computation - GECCO '06. Association for Computing Machinery, New York, pp. 383-384. ISBN 978-1595931863

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Abstract

This study aims to design a new co-evolution algorithm, Mixture Co-evolution which enables modeling of integration and composition of direct co-evolution and it indirect co-evolution. This algorithm is applied to investigate properties of players' belief and of information incompleteness in a dynamic game.

Item Type:	Book Section
Subjects:	G400 Computer Science
Department:	Faculties > Engineering and Environment > Computer and Information Sciences
Depositing User:	Becky Skoyles
Date Deposited:	11 Aug 2014 11:15
Last Modified:	10 Oct 2019 23:01
URI:	http://nrl.northumbria.ac.uk/id/eprint/17378

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