Agent-Based Modeling Meets Gaming Simulation by K. Arai, H. Deguchi, H. Matsui PDF

By K. Arai, H. Deguchi, H. Matsui

ISBN-10: 4431294260

ISBN-13: 9784431294269

ISBN-10: 4431294279

ISBN-13: 9784431294276

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We utilize the source codes available from the Illinois Genetic Algorithms Laboratory. Learning classifier system (LCS) architecture is suitable because of both its learning ability and its ability to understand knowledge. As shown in Fig. 1, the XCS programs link with BMDS agents via interprocess communication functions in the UNIX environment, because: (1) it is easy to independently replace learning functions from the given games, and (2) it reduces the learning time with high performance codes.

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Decision Premise. This relates to the design of the decision chain. When we design an organization model, even if the organization does not need to take a conflict into consideration between the subgoals of the composition agents, we have to hypothesize that there is no rational agent in the organization because of mainly local information. It means that it cannot but get conscious of the decision premise as raised by Simon [3]. Highly Irregular Nature of Voluntary Citizen Participation. Voluntary organizations differ from any commercial enterprise because the participants can only offer their free time and cannot guarantee their attendance at committee meetings.

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Agent-Based Modeling Meets Gaming Simulation by K. Arai, H. Deguchi, H. Matsui

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