By Kiyoshi Arai, Hiroshi Deguchi, Hiroyuki Matsui
This choice of very good papers cultivates a brand new point of view on agent-based social method sciences, gaming simulation, and their hybridization. lots of the papers incorporated right here have been offered within the distinct 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.
Nowadays, agent-based simulation is turning into very hot for modeling and fixing advanced social phenomena. it's also used to reach at useful suggestions to social difficulties. while, in spite of the fact that, the validity of simulation doesn't exist within the beauty of the version. R. Axelrod stresses the simplicity of the agent-based simulation version in the course of the “Keep it uncomplicated, stupid” (KISS) precept: As an amazing, easy modeling is essential.
Many real social phenomena are extra advanced than should be defined through the straightforward modeling precept, although. we have to build a version of complicated phenomena as a duplicate of a true scenario. it truly is tricky to mix truth and sim- plicity in a version, specially whilst the phenomena contain many brokers as determination makers. How do we make the 2 various modeling ideas compatible?
Gaming and simulation deals 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 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)
2. The game is sufficiently complex for those who have real and practical business experience to play the simulation games to understand the advanced concepts of decision making and business processes and procedures. Graduate School of Systems Management, University of Tsukuba, 3-29-1 Otsuka, Bunkyoku, Tokyo 112-0012, Japan. jp; terano@gssm. jp 49 50 M. Kobayashi and T. Terano 3. Using the simulators, the students will be highly motivated to further study advanced courses at GSSM including operations research, information systems, decision theory, accounting, marketing, computer programming, artificial intelligence, agent technologies, and/or computer networks.
Studies of artificial markets have achieved a variety of interesting results and have also clarified difficulties that are peculiar to agent-based simulation approaches [1,2], such as: 1. Researchers from different fields need to cooperate due to the interdisciplinary nature of the approach, 2. It is very difficult to design a model that combines the complexity to imitate real markets and the simplicity to allow computational experiments to be conducted, and 3. Researchers need to share common understanding on experimental configuration and results that are much more complicated than those of conventional theoretical models.
Consumers in this market are different from consumers found in traditional economic theory. In traditional market theory, many manufacturers produce homogeneous goods and price is the only competitive index. In a real economy, firms compete not only on price but also on other aspects such as product development and advertising; such service offerings are very important in real industry. In the high-tech industries, it is reasonable to assume that R&D investment influences the quality of a product, and capital investment in production influences the quantity of a product; both quality and quantity are extremely important for the firms competing in high-tech industry.
Agent-Based Modeling Meets Gaming Simulation (Agent-Based Social Systems, Volume 2) by Kiyoshi Arai, Hiroshi Deguchi, Hiroyuki Matsui