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

被引：0

作者：

Jin, Nanlin ^{[1
]}

机构：

[1] Univ Essex, Dept Comp Sci, Colchester CO4 3SQ, Essex, England

来源：

GECCO 2006: Genetic and Evolutionary Computation Conference, Vol 1 and 2 | 2006年

关键词：

co-evolution; came theory; belief; incomplete information;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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 indirect co-evolution. This algorithm is applied to investigate properties of players' belief and of information incompleteness in a dynamic game.

引用

页码：383 / 384

页数：2