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Titlebook: New Frontiers in Artificial Intelligence; Joint JSAI 2001 Work Takao Terano,Yukio Ohsawa,Takashi Washio Conference proceedings 2001 Springe

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Toward Cumulative Progress in Agent-Based Simulation introduce our approach to analyzing modeling processes and investigate its possibilities toward cumulative progress. The capabilities of our approach can be summarized as follows: (1) our approach has great potential to promote cumulative progress in agent-based approaches; and (2) the elements fou
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U-Mart Project: Learning Economic Principles from the Bottom by Both Human and Software Agents agents, behavior of the market and their relationship. An experiment open to public (Pre U-Mart 2000) using the proposed system is held in August 2000. More than 40 software agents (computer programs for trading) from 11 teams participated in this experiment. This paper reports the outline of the e
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A Multi-objective Genetic Algorithm Approach to Construction of Trading Agents for Artificial Marketence of preference to return and risk among agents will be one candidate reason of variety of the trading strategies. It can be treated as a multi-objective optimization problem taking both criteria as objective functions. This paper proposes a multi-objective genetic algorithm(MOGA) approach to con
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Toyoaki Nishidaional categories, it has generated an enormous amount of research and theory. Measurement problems, conceptual and operational inconsistencies across studies, and reliance on single-discipline perspectives on stress, however, have hindered our understanding of the stress process and contributed to c
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