Title :
A Historical Population in a Coevolutionary System
Author :
Avery, Phillipa M. ; Michalewicz, Zbigniew ; Schmidt, Martin
Author_Institution :
Dept. of Comput. Sci., Adelaide Univ., SA
Abstract :
The use of memory in coevolutionary systems is considered an important mechanism to counter the Red Queen effect. Our research involves incorporating a memory population that the coevolving populations compete against to obtain a fitness that is influenced by past generations. This long term fitness then allows the population to have continuous learning that awards individuals that do well against the current populations, as well as previous winning individuals. By allowing continued learning, the individuals in the populations increase their overall ability to play the game of TEMPO, not just to play a single round with the current opposition.
Keywords :
evolutionary computation; game theory; learning (artificial intelligence); TEMPO game; adaptive memory; coevolutionary system; computational intelligence; continuous learning; historical population; memory population; winning individual; Australia; Computational intelligence; Computer science; Counting circuits; Fuzzy systems; History; Humans; Intelligent systems; Military computing; System testing; Adaptive memory; Computational Intelligence; TEMPO;
Conference_Titel :
Computational Intelligence and Games, 2007. CIG 2007. IEEE Symposium on
Conference_Location :
Honolulu, HI
Print_ISBN :
1-4244-0709-5
DOI :
10.1109/CIG.2007.368085
