An improved Abrams-Strogatz model based protocol for agent competition and strategy designing

Abstract

Strategy designing is a key task in today's market place competition and many other application fields. While dominating over competitors is unrealistic or too expensive to seek after, finding dynamic equilibrium in the competition progress becomes critical and practical in lots of scenarios. Inspired by the Abrams and Strogatz model originally proposed for monitoring language death and competition, this paper presented a novel mechanism for agent's competition equilibrium point finding and strategy designing. By analyzing historical data and status property of the two competition agents, an agent could evaluate its own status and forecast the long range trends of the game based upon the improved Abrams and Strogatz model. A posteriori status evaluation based strategy designing protocol is purposed and implemented. Experiments and simulation results showed desirable consistence with theoretical analysis. The protocol presented is valuable for adoption with proper settings to practical applications. © 2011 Springer-Verlag Berlin Heidelberg.