This book consists of 20 chapters in which the authors deal with different theoretical and practical aspects of new trends in Collective Computational Intelligence techniques. Computational Collective Intelligence methods and algorithms are one the current trending research topics from areas related to Artificial Intelligence, Soft Computing or Data Mining among others. Computational Collective Intelligence is a rapidly growing field that is most often understood as an AI sub-field dealing with soft computing methods which enable making group decisions and processing knowledge among autonomous units acting in distributed environments. Web-based Systems, Social Networks, and Multi-Agent Systems very often need these tools for working out consistent knowledge states, resolving conflicts and making decisions. The chapters included in this volume cover a selection of topics and new trends in several domains related to Collective Computational Intelligence: Language and Knowledge Processing, Data Mining Methods and Applications, Computer Vision, and Intelligent Computational Methods. This book will be useful for graduate and Ph D students in computer science as well as for mature academics, researchers and practitioners interested in the methods and applications of collective computational intelligence in order to create new intelligent systems.
David Camacho & Sang-Wook Kim
New Trends in Computational Collective Intelligence [PDF ebook]
New Trends in Computational Collective Intelligence [PDF ebook]
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لغة الإنجليزية ● شكل PDF ● ISBN 9783319107745 ● محرر David Camacho & Sang-Wook Kim ● الناشر Springer International Publishing ● نشرت 2014 ● للتحميل 3 مرات ● دقة EUR ● هوية شخصية 6302965 ● حماية النسخ Adobe DRM
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