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. ACM, New York, pp. 383-384. ISBN 978-1595931863

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Official URL: http://dx.doi.org/10.1145/1143997.1144067

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 Nov 2016 12:36
URI: http://nrl.northumbria.ac.uk/id/eprint/17378

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