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Multi-disciplinary Trends in Artificial Intelligence

6th International Workshop, MIWAI 2012, Ho Chin Minh City, Vietnam, December 26-28, 2012, Proceedings

This volume constitutes the refereed proceedings of the 6th Multi-disciplinary International Workshop On Artificial Intelligence, MIWAI 2012, held in Ho Chi Minh City, Vietnam, in December 2012. The 29 revised full papers presented were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections in AI-GIS for climate change, computer vision, decision theory, e-commerce and AI, multiagent planning and learning, game theory, industrial applications of AI, multiagent systems and evolving intelligence, robotics and Web services.

1 Introduction The smart grid pursues smart energy consumption taking
advantage of seamless inter-component interactions provided by advanced
communication technologies as well as computational intelligence provided by
high-end information technologies [1]. Intelligent power management can be
achieved by many different ways including smart device monitoring, smart
renewable energy, smart power trade, and the like [2]. Smart transportation is
also one of them. Essentially ...

Multi-disciplinary Trends in Artificial Intelligence

7th International Workshop, MIWAI 2013, Krabi, Thailand, December 9-11, 2013, Proceedings

This book constitutes the thoroughly refereed conference proceedings of the 7th International Conference on Multi-disciplinary Trends in Artificial Intelligence, MIWAI 2013, held in Krabi, Thailand, in December 2013. The 30 full papers were carefully reviewed and selected from 65 submissions and cover topics such as cognitive science, computational intelligence, computational philosophy, game theory, machine learning, multi-agent systems, natural language, representation and reasoning, speech, vision and the web.

1 Introduction In the context of operations research and computational
intelligence, a computational method optimises a problem by iteratively trying to
improve a candidate solution considering a given measure of quality. Stochastic
search algorithms have been successfully applied to solve various problems
especially for which are very large in size but they do not guarantee the optimum
solution [1]. The inspirations for the computational intelligence can be
categorised into three ...