Title :
Modeling and simulation of contestable market based on classifier systems
Author :
Zhou, Qing ; Yang, Xuebib
Author_Institution :
Sch. of Bus. Adm., China Univ. of Pet., Beijing
Abstract :
The contestable markets theory provides a new view of business behaviors and other basic economic problems, such as economies of scale and natural monopolies. In order to study the potential competition from new entrants in the contestable market, a competing frame of agents was designed, and a contestable market model integrated with the theory of complex adaptive systems (CAS) was built. We designed the corresponding dynamic competition mechanism, operational mechanism and especially the classifier system evolutionary learning mechanism. By constructing emulator based on SWARM, the dynamic behavior of retailer agent was simulated and then the results of the multi-agent system were analyzed.
Keywords :
adaptive systems; commerce; evolutionary computation; learning (artificial intelligence); multi-agent systems; pattern classification; retailing; classifier systems; complex adaptive systems; contestable market; multi-agent system; retailer agent; Adaptive systems; Analytical models; Content addressable storage; Economies of scale; Evolutionary computation; Learning systems; Monopoly; Multiagent systems; Power generation economics; Tin;
Conference_Titel :
Evolutionary Computation, 2008. CEC 2008. (IEEE World Congress on Computational Intelligence). IEEE Congress on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-1822-0
Electronic_ISBN :
978-1-4244-1823-7
DOI :
10.1109/CEC.2008.4631282
