Phelps Steve, McBurney Peter, Parsons Simon
Centre for Computational Finance and Economic Agents, University of Essex, CO43SQ Colchester, U.K.
IEEE Trans Syst Man Cybern B Cybern. 2010 Jun;40(3):668-74. doi: 10.1109/TSMCB.2009.2034731. Epub 2009 Nov 10.
We introduce a method for strategy acquisition in nonzero-sum n -player games and empirically validate it by applying it to a well-known benchmark problem in this domain, namely, the double-auction market. Many existing approaches to strategy acquisition focus on attempting to find strategies that are robust in the sense that they are good all-round performers against all-comers. We argue that, in many economic and multiagent scenarios, the robustness criterion is inappropriate; in contrast, our method focuses on searching for strategies that are likely to be adopted by participating agents, which is formalized as the size of a strategy's basins of attraction under the replicator dynamics.
