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Titlebook: Evolutionary Computing and Artificial Intelligence; Essays Dedicated to Fernando Koch,Atsushi Yoshikawa,Takao Terano Book 2019 Springer Na

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Evaluating Participatory Mapping Software using computer agents and aim to think more deeply about the possibility of using ICT for learning. In this paper, we describe the possibility of learning effect given by the design of the game using the computer agents. And we report the practice of business game using strategy agent. In the futur
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Jasmina Džinić,Romea Manojlovićemonstrates how the development of ECAI impacts the metallurgical industry by analyzing some good applications of the ECAI in typical metallurgical processes and discusses the future development trends and challenges of the applications of the ECAI in metallurgical industries.
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https://doi.org/10.1007/978-3-030-32846-7and discusses risks that both can and cannot be expressed using ABS. We show two ways to use ABS for educational policy making by identifying risks that can be reduced and risks that cannot be dealt with by ABS.
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Evolutionary Computing and Artificial IntelligenceEssays Dedicated to
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Karen Sparck Jones,Julia R. Galliersproblems by sharing examples of research results from studies of social anxiety, environmental noise, mobility of the disabled, and problems in social safety. We will also describe how all these technologies, big data, methodologies and knowledge can be combined onto an open social informatics platform.
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Framework of Evaluating Business Partner Recommendation Beyond Industry Types Toward Virtual Corporation method (machine learning, etc.) and an agent-based modeling simulation (ABMs). Since this framework can handle experiments assuming future situations, managers in a firm are possible to consider and judge recommendation methods and recommended partners according to virtual market conditions.
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https://doi.org/10.1007/978-1-4757-0175-3overview of this combined approach, considering both mono-objective and multi-objective approaches. In particular, we stress the importance of hyper-heuristic approaches, i.e., heuristics that help to choose the best EC algorithm among a candidate set.
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