Get Agent-Based Modeling Meets Gaming Simulation (Agent-Based PDF

By Kiyoshi Arai, Hiroshi Deguchi, Hiroyuki Matsui

ISBN-10: 4431294260

ISBN-13: 9784431294269

This choice of first-class papers cultivates a brand new viewpoint on agent-based social approach sciences, gaming simulation, and their hybridization. lots of the papers integrated right here have been provided within the particular 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.

Nowadays, agent-based simulation is changing into very hot for modeling and fixing advanced social phenomena. it's also used to reach at sensible suggestions to social difficulties. whilst, even though, the validity of simulation doesn't exist within the beauty of the version. R. Axelrod stresses the simplicity of the agent-based simulation version throughout the “Keep it easy, stupid” (KISS) precept: As a terrific, basic modeling is essential.

Many real social phenomena are extra advanced than should be defined through the easy modeling precept, in spite of the fact that. we have to build a version of complicated phenomena as a reproduction of a true state of affairs. it truly is tough to mix truth and sim- plicity in a version, specially whilst the phenomena comprise many brokers as selection makers. How will we make the 2 assorted modeling rules compatible?

Gaming and simulation bargains a solution. If a human participant can perform a simulation version as a player–agent, then he can simply realize the truth of the version. Hybrid simulation makes attainable the hybridization of gaming simulation and agent-based simulation in a version. In a hybrid simulation, version human avid gamers and computing device brokers simulate (play) the version even as.

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Extra info for Agent-Based Modeling Meets Gaming Simulation (Agent-Based Social Systems, Volume 2)

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In: Terano T, Deguchi H, Takadama K (eds) Meeting the challenge of social problems via agentbased simulation. IOS, (Amsterdam) pp 167–178 Taniguchi K, Nakajima Y, Hashimoto F (2004) A report of U-Mart experiments by human agents. In: Shiratori R, Arai K, Kato F (eds) Gaming, simulations, and society research scope and perspective. Springer, Berlin Heidelberg New York Tokyo, pp 49–57 U-Mart Project (2005) U-Mart Project. org/, cited 1 Apr 2005 The Gaming of Firm Strategy in High-Tech Industry: Human Agents and Artificial Intelligence Agents Intermingled in a Simulation Model Hao Lee1 and Hiroshi Deguchi2 Introduction Research and development (R&D) activity is vitally important to modern industry and any firm that leads the research field in new technology will naturally increase its chances of financial success in the marketplace.

8. Firms seeking maximization of the technological level will maximize Ti,t and their goal is defined in Eq. 9. Max ∑ Ri ,t (7) Max ∑ Qi ,t (8) Max ∑ Ti ,t (9) t ∈T t ∈T t ∈T Artificial Intelligence Agents The reinforcement learning system with profit sharing evaluation was used in this study. Depending on their goals all AI agents have utility functions and they evaluate their actions for learning. The types of goals are described below: 1. Type P aims to maximize profit 2. Type S aims to maximize market share 3.

Looked at from a macro level, such motivation leads to irregular participation patterns and makes management and forecasting very difficult, often resulting in inefficient organizational decision making. Nowadays, individualism is more common in Japan and in the near future such inefficiencies will only become more common. Garbage Can Model for Design of Citizen Participation System 41 Garbage Can Model Revisited The naming of the garbage can model, although unusual, is quite simply a metaphor likening the choice opportunity (committee) to a garbage can into which every participant throws their “problem,” or “energy” and when all this material is piled up in the can a decision is made and the can is emptied and cleaned.

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Agent-Based Modeling Meets Gaming Simulation (Agent-Based Social Systems, Volume 2) by Kiyoshi Arai, Hiroshi Deguchi, Hiroyuki Matsui

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