DocumentCode
2695797
Title
Static experts and dynamic enemies in coevolutionary games
Author
Avery, Phillipa M. ; Michalewicz, Zbigniew
Author_Institution
Univ. of Adelaide, Adelaide
fYear
2007
fDate
25-28 Sept. 2007
Firstpage
4035
Lastpage
4042
Abstract
The usage of memory in coevolutionary systems offers a wide range of research possibilities, especially when evolving computationally intelligent computer players for games. The research discussed here continues from previous work done to include memory with coevolution for the game of TEMPO. The strategy of inserting a simple human derived rule base to kick start the evolutionary process with memory is investigated further, with tests done on the effectiveness of the expert as a participant in the evolutionary process. There is also further research presented on reproducing the human long term memory mechanism in the coevolutionary process, with a process used to mimic the way humans recall information relevant to the current scenario. This creates a memory that changes as the environmental situation changes, and results in a dynamic opposition to coevolve against.
Keywords
brain; computer games; evolutionary computation; expert systems; human factors; TEMPO game; coevolutionary games; coevolutionary systems; computationally intelligent computer players; computer games; dynamic enemy; evolutionary process; human derived rule base; human long term memory mechanism; static experts; Competitive intelligence; Computational intelligence; Computer science; Helium; Humans; Information retrieval; Performance evaluation; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Evolutionary Computation, 2007. CEC 2007. IEEE Congress on
Conference_Location
Singapore
Print_ISBN
978-1-4244-1339-3
Electronic_ISBN
978-1-4244-1340-9
Type
conf
DOI
10.1109/CEC.2007.4424997
Filename
4424997
Link To Document