DocumentCode :
1873082
Title :
Monitoring and interpreting evolved behaviours in an oligopoly
Author :
Cheung, Yen ; Bedingfield, Sue ; Huxford, Stephen
Author_Institution :
Dept. of Bus. Syst., Monash Univ., Clayton, Vic., Australia
fYear :
1997
fDate :
13-16 Apr 1997
Firstpage :
697
Lastpage :
701
Abstract :
In a marketplace competition, participants develop strategies to maximise their returns. These strategies are based on the participants´ knowledge and beliefs of the marketplace. For instance, in an oligopolistic marketplace, participants may know the relativity of their product´s price with respect to other participants and believe that this relativity and its history critically influences their profits. It is possible to simulate such a marketplace using game theory concepts and a genetic algorithm. This paper describes a simulation of the Australian petroleum industry based on such concepts. Experimental results show the emergence of apparent collusion amongst participants and the emergence and disappearance of ephemeral, rogue strategies. Techniques used to monitor and interpret these phenomena are described
Keywords :
behavioural sciences; economic cybernetics; game theory; genetic algorithms; monitoring; petroleum industry; simulation; Australian petroleum industry; ephemeral rogue strategies; evolved behaviour interpretation; evolved behaviour monitoring; game theory; genetic algorithm; history; marketplace competition; maximised returns; oligopolistic marketplace; participants collusion; product price relativity; profits; simulation; Australia; Game theory; Genetic algorithms; Government; Monitoring; Oligopoly; Petroleum industry; Pricing; Production; Refining;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Evolutionary Computation, 1997., IEEE International Conference on
Conference_Location :
Indianapolis, IN
Print_ISBN :
0-7803-3949-5
Type :
conf
DOI :
10.1109/ICEC.1997.592425
Filename :
592425
Link To Document :
بازگشت