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

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

This choice of very good papers cultivates a brand new standpoint on agent-based social method sciences, gaming simulation, and their hybridization. lots of the papers incorporated right here have been awarded within the targeted 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 construction of Agent-Based Social platforms Sciences (ABSSS), proven on the Tokyo Institute of expertise in 2004. the current quantity contains papers submitted to the certain consultation of ISAGA2003 and offers a superb instance of the varied scope and traditional of study accomplished in simulation and gaming this day. The subject matter 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 advanced social phenomena. it's also used to reach at useful recommendations to social difficulties. even as, notwithstanding, 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 uncomplicated, silly” (KISS) precept: As an awesome, easy modeling is essential.

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Additional resources for Agent-Based Modeling Meets Gaming Simulation

Example text

To guide the students, a typical business model and simulator should be developed. The simulator is both executable as an introductory tool for the course and readable for students to understand how the model is built, and how the simulation is executed. The simulator should be used as an example in the introductory course. To carry out practical simulation study, many students and a computer-rich environment are required. Generally, it is very difficult, even for experienced experts, to develop a suitable simulator.

In the second simulation, the techniques required for creating AI agents to compete with human players were developed. First, it is important to ascertain the number of terms of a hybrid game and to adjust the specifications of the AI agents accordingly. Second, in this case, a long-term maximization strategy produces better results than short-term maximization. 38 H. Lee and H. Deguchi Summary In this study, a hybrid-gaming simulation model was used instead of a normal computer simulation model.

The simulation was carried out twice and in the second run both AI agents and human players became smarter and made decisions more efficiently. The simulation results are shown in Fig. 1. Fig. 1, Fig. 2 and Fig. 3 are shown to compare relative levels across three main variables used in the analysis. We assume that the variables, cash, tec lv, production shown in these figures to be expressed in terms of general units of measurement such as per monetary unit, per technological level unit and per production unit.

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