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

Authors:
Nanlin Jin
Affiliations:
University of Essex, Colchester, UK
Venue:
Proceedings of the 8th annual conference on Genetic and evolutionary computation
Year:
2006

Citing 1
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Challenges in coevolutionary learning: arms-race dynamics, open-endedness, and medicocre stable states

ALIFE Proceedings of the sixth international conference on Artificial life

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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.