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Advanced Methods for Computational Collective Intelligence
Details
The book consists of 35 extended chapters which have been selected and invited from the submissions to the 4th International Conference on Computational Collective Intelligence Technologies and Applications (ICCCI 2012) held on November 28-30, 2012 in Ho Chi Minh City, Vietnam. The book is organized into six parts, which are semantic web and ontologies, social networks and e-learning, agent and multiagent systems, data mining methods and applications, soft computing, and optimization and control, respectively. All chapters in the book discuss theoretical and practical issues connected with computational collective intelligence and related technologies. The editors hope that the book can be useful for graduate and Ph.D. students in Computer Science, in particular participants in courses on Soft Computing, Multiagent Systems, and Data Mining. This book can be also useful for researchers working on the concept of computational collective intelligence in artificial populations. It is the hope of the editors that readers of this volume can find many inspiring ideas and use them to create new cases of intelligent collectives. Many such challenges are suggested by particular approaches and models presented in individual chapters of this book. The editors hope that readers of this volume can find many inspiring ideas and influential practical examples and use them in their future work.
Latest research on Computational Collective Intelligence Presents advanced Methods for Computational Collective Intelligence Written by leading experts in the field
Inhalt
Part I: Semantic Web and Ontologies.- Part II: Social Networks and e-Learning.- Part III: Agent and Multiagent Systems.- Part IV: Data Mining Methods and Applications.- Part V: Soft computing.- Part VI: Optimization and Control.
Weitere Informationen
- Allgemeine Informationen
- GTIN 09783642433795
- Auflage 2013
- Editor Ngoc Thanh Nguyen, Geun-Sik Jo, Rados aw Katarzyniak, Bogdan Trawi ski
- Sprache Englisch
- Genre Allgemeines & Lexika
- Lesemotiv Verstehen
- Größe H235mm x B155mm x T21mm
- Jahr 2014
- EAN 9783642433795
- Format Kartonierter Einband
- ISBN 3642433790
- Veröffentlichung 09.11.2014
- Titel Advanced Methods for Computational Collective Intelligence
- Untertitel Studies in Computational Intelligence 457
- Gewicht 587g
- Herausgeber Springer Berlin Heidelberg
- Anzahl Seiten 388