DocumentCode :
2346917
Title :
Evolution of strategy selection in games by means of natural selection
Author :
Kovacs, Daniel L. ; Dobrowiecki, Tadeusz
Author_Institution :
Budapest Univ. of Technol. & Econ., Budapest
fYear :
2008
fDate :
20-22 Oct. 2008
Firstpage :
165
Lastpage :
172
Abstract :
In this paper we present a novel agent-based simulation model for the natural selection of replicating agents whose survival depends on their programs for selecting their strategy to interact with each other. Game theoretic models describe this kind of interaction. The simulator can be used both for analysis, design and verification of autonomous systems (by intuitively abstracting them into our model and running the simulation). Good system design can be selected even for difficult, underspecified design problems. Although the inspiration of the model comes from evolutionary game theory, the evolving agents may represent not only biological, but also technical systems (e.g. software agents), and thus in some cases the underlying evolutionary mechanisms and observations differ from the typically published results.
Keywords :
evolutionary computation; game theory; software agents; agent-based simulation model; autonomous system verification; evolutionary game theory; game theoretic models; natural selection; replicating agents; software agents; strategy games selection; Analytical models; Biological system modeling; Evolution (biology); Game theory; Software agents; System analysis and design;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Information Technology, 2008. IMCSIT 2008. International Multiconference on
Conference_Location :
Wisia
Print_ISBN :
978-83-60810-14-9
Type :
conf
DOI :
10.1109/IMCSIT.2008.4747235
Filename :
4747235
Link To Document :
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