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

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

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.
Original languageEnglish
Title of host publicationProceedings of the 8th annual conference on Genetic and evolutionary computation - GECCO '06
Place of PublicationNew York
PublisherACM
Pages383-384
ISBN (Print)978-1595931863
DOIs
Publication statusPublished - 2006

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