Artificial intelligence: methodology, systems, and applications

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The content covers a range of topics related to large-scale semantics, knowledge acquisition, and sharing within organizations, emphasizing methodologies and issues. It discusses the role of agents and property-based coordination, presenting a formal general setting for dialogue protocols and formalizing emotions within a BDI logic framework. The annotation addresses constraints and optimization, including Boolean encoding, constructive hybrid algorithms for crew pairing optimization, and local search techniques for constraint solving. User concerns are highlighted, particularly in integrating semantic applications and addressing privacy in distributed data mining. Decision support systems are explored through a multiagent approach and flexible decision-making in web services negotiation, alongside a unified framework for sampling in decision tree ensembles. The text delves into models and ontologies, examining spatio-temporal proximities for multimedia adaptation, fuzzy semantics in color descriptions, and the development of argumentation ontologies. Machine learning applications are discussed, including clustering with belief function theory and spoken dialogue management experiments. The annotation also touches on ontology manipulation, case-based reasoning, and methodologies for relation extraction in natural language processing. Finally, it presents applications such as intelligent navigation tools, model-based monitori