By Hiroshi Deguchi (auth.), Kiyoshi Arai D.Eng., Hiroshi Deguchi D.Sc, D.Econ., Hiroyuki Matsui D.Eng. (eds.)
This choice of first-class papers cultivates a brand new standpoint on agent-based social process sciences, gaming simulation, and their hybridization. lots of the papers incorporated right here have been awarded within the certain consultation titled Agent-Based Modeling Meets Gaming Simulation at ISAGA2003, the thirty fourth annual convention of the foreign Simulation and Gaming organization (ISAGA) at Kazusa Akademia Park in Kisarazu, Chiba, Japan, August 25–29, 2003. This post-proceedings used to be supported via the twenty-?rst century COE (Centers of Excellence) application production of Agent-Based Social structures Sciences (ABSSS), proven on the Tokyo Institute of expertise in 2004. the current quantity contains papers submitted to the particular consultation of ISAGA2003 and offers a superb instance of the varied scope and traditional of analysis accomplished in simulation and gaming at the present time. The topic of the precise consultation at ISAGA2003 was once Agent-Based Modeling Meets Gaming Simulation. these days, agent-based simulation is changing into extremely popular for modeling and fixing complicated social phenomena. it's also used to reach at functional recommendations to social difficulties. whilst, even though, the validity of simulation doesn't exist within the magni?cence of the version. R. Axelrod stresses the simplicity of the agent-based simulation version in the course of the “Keep it basic, silly” (KISS) precept: As a great, easy modeling is essential.
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Additional resources for Agent-Based Modeling Meets Gaming Simulation
1). The U-Mart system is a server–client system that uses a dedicated protocol built on TCP/IP to exchange trading information on the Internet. The server that simulates the stock exchange accepts orders from clients, executes pricing and trading, and manages the asset account. Each client obtains information such as price movements from the server and places orders based on their own decision. The form of the client is not a problem as long as the client behaves according to the trading protocol.
Springer, Berlin Heidelberg New York, pp 121–131 Terano T, Shiozawa Y, Deguchi H, et al. (2003) U-Mart: an artiﬁcial market testbed for economics and multiagent systems. In: Terano T, Deguchi H, Takadama K (eds) Meeting the challenge of social problems via agent-based simulation. Springer, Berlin Heidelberg New York Tokyo, pp 53–65 Sato H, Koyama Y, Kurumatani K, et al. (2001) U-Mart: a test bed for interdisciplinary research in agent based artiﬁcial market. In: Aruka Y (ed) Evolutionary controversies in economics: a new transdisciplinary approach.
This conﬁrmed the importance of agent tuning when playing a hybrid-gaming simulation. In future work, we will formulate our current model in an extensive game form and analyze the model more thoroughly. By carrying out more hybrid-gaming simulations with a dynamic model, it will be possible to analyze the model and create a robust theoretical formula. We will also analyze the relation between economic theory and the real economy by using both gaming simulation and hybrid-gaming simulation. References 1.