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Titlebook: Smart Information and Knowledge Management; Advances, Challenges Edward Szczerbicki,Ngoc Thanh Nguyen Book 2010 Springer-Verlag Berlin Heid

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Fuzzy Motivations in Behavior Based Agents,arning. In this approach, fuzzy logic provides a fitness measure used in the generation of agents with complex behaviors which respond to user expectations of previously specified motivations. Our approach is implemented in behavior based navigation, route planning and action sequence based environm
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An Ontology-Based System for Knowledge Management and Learning in Neuropediatric Physiotherapy, modeling and building an ontology-based system for knowledge management in the domain of Neuropediatric Physiotherapy and its application to supporting learning. This area of Physiotherapy includes diagnosis, treatment and evaluation of patients with neurological injuries. The domain knowledge in P
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Fuzzy Motivations in Behavior Based Agents,ent recognition tasks in a Khepera mobile robot simulator. Our fuzzy logic based motivation technique is shown as a simple and powerful method for agents to acquire a diverse set of fit behaviors as well as providing an intuitive user interface framework.
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Book 2010 of the main efforts in intelligent systems development is focused on knowledge and information management which is regarded as the crucial issue in smart decision making support. The 14 Chapters of this book represent a sample of such effort. The overall aim of this book is to provide guidelines to
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