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 :
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