Title :
Deceptive strategies for the evolutionary minority game
Author :
Greenwood, Garrison W.
Author_Institution :
Electr. & Comput. Eng. Dept., Portland State Univ., Portland, OR, USA
Abstract :
The evolutionary minority game is extensively used to study adaptive behavior in a population of interacting agents. In time the agents self-organize despite the fact agents act independently in choosing how to play the game and do not know the play of any other agent. In this paper we study agents who collude with each other to play the same strategy. However, nothing prevents agents from being deceptive and playing a different strategy instead. It is shown that deceptive strategies can be profitable if the number of deceptive agents is small enough.
Keywords :
evolutionary computation; game theory; multi-agent systems; deceptive agents; deceptive strategies; evolutionary minority game; Cloning; Electromyography; History; Performance evaluation; Random variables;
Conference_Titel :
Computational Intelligence and Games, 2009. CIG 2009. IEEE Symposium on
Conference_Location :
Milano
Print_ISBN :
978-1-4244-4814-2
Electronic_ISBN :
978-1-4244-4815-9
DOI :
10.1109/CIG.2009.5286499