Download PDF by Hiroshi Deguchi (auth.), Kiyoshi Arai D.Eng., Hiroshi: Agent-Based Modeling Meets Gaming Simulation

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By Hiroshi Deguchi (auth.), Kiyoshi Arai D.Eng., Hiroshi Deguchi D.Sc, D.Econ., Hiroyuki Matsui D.Eng. (eds.)

ISBN-10: 4431294260

ISBN-13: 9784431294269

ISBN-10: 4431294279

ISBN-13: 9784431294276

This number of first-class papers cultivates a brand new viewpoint on agent-based social approach sciences, gaming simulation, and their hybridization. many of the papers incorporated the following have been offered within the precise consultation titled Agent-Based Modeling Meets Gaming Simulation at ISAGA2003, the thirty fourth annual convention of the overseas Simulation and Gaming organization (ISAGA) at Kazusa Akademia Park in Kisarazu, Chiba, Japan, August 25–29, 2003. This post-proceedings used to be supported through the twenty-?rst century COE (Centers of Excellence) software production of Agent-Based Social structures Sciences (ABSSS), tested on the Tokyo Institute of know-how in 2004. the current quantity includes papers submitted to the exact consultation of ISAGA2003 and offers a superb instance of the various scope and traditional of analysis accomplished in simulation and gaming at the present time. The subject of the distinctive consultation at ISAGA2003 used to be Agent-Based Modeling Meets Gaming Simulation. these days, agent-based simulation is turning into highly regarded for modeling and fixing advanced social phenomena. it's also used to reach at sensible ideas to social difficulties. while, despite the fact that, 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 during the “Keep it uncomplicated, silly” (KISS) precept: As a fantastic, basic modeling is essential.

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Extra resources for Agent-Based Modeling Meets Gaming Simulation

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The development of cutting-edge products requires considerable resources combined with the ability to pursue innovation; a balance needs to be struck between investment and production. Overinvestment in research and development at the expense of production facilities can result in low profits and a struggle to survive. The allocation of resources between R&D investment and production capital investment is essential for any firm competing in the high-tech products market. Many economists now use computer simulation methods to research the details and effects of innovation.

Center on social and economic dynamics working paper no. 17, 30 3. 4. 5. 6. 7. 8. H. Matsui et al. edu/es/dynamics/papers/agents/agents. htm, cited 1 Apr 2005 Sato H, Matsui H, Ono I, et al. (2001) U-Mart project: learning economic principles from the bottom by both human and software agents. In: Terano T, Nishida T, Namatame A et al. (eds) New frontiers in artificial intelligence. 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.

They are so-called stockjobbers. It proves that human agents are not homogeneous, but clearly have individual characteristics and differences. Conclusions In this chapter, we have described the basic principles and activity of the U-Mart project. The U-Mart project is producing various results through three activity types, namely, education, research, and events. With regard to educational function, due to improvements from numerous experiments in the past, the system is very easy to use and is valuable as educational courseware.

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Agent-Based Modeling Meets Gaming Simulation by Hiroshi Deguchi (auth.), Kiyoshi Arai D.Eng., Hiroshi Deguchi D.Sc, D.Econ., Hiroyuki Matsui D.Eng. (eds.)


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