New Trends in Computational Collective Intelligence
Editors: Camacho, David, Kim, Sang-Wook, Trawiński, Bogdan (Eds.)
Free Preview- Recent research in Collective Computational Intelligence
- Consists of 20 extended and revised chapters based on original works presented within the 6th International Conference on Computational Collective Intelligence (ICCCI 2014) held September 23-26, 2014 in Seoul, Korea
- Presents 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
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- About this book
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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 PhD 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.
- Table of contents (20 chapters)
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An Analysis of Influence of Consistency Degree on Quality of Collective Knowledge Using Binary Vector Structure
Pages 3-13
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Evaluation of Domain Adaptation Approaches to Improve the Translation Quality
Pages 15-26
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Intelligent Problem Solving about Functional Component of COKB Model and Application
Pages 27-37
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Reducing Model of COKB about Operators Knowledge and Solving Problems about Operators
Pages 39-49
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Context Identification of Scientific Papers via Agent-Based Model for Text Mining (ABM-TM)
Pages 51-61
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Table of contents (20 chapters)
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Bibliographic Information
- Bibliographic Information
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- Book Title
- New Trends in Computational Collective Intelligence
- Editors
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- David Camacho
- Sang-Wook Kim
- Bogdan Trawiński
- Series Title
- Studies in Computational Intelligence
- Series Volume
- 572
- Copyright
- 2015
- Publisher
- Springer International Publishing
- Copyright Holder
- Springer International Publishing Switzerland
- eBook ISBN
- 978-3-319-10774-5
- DOI
- 10.1007/978-3-319-10774-5
- Hardcover ISBN
- 978-3-319-10773-8
- Softcover ISBN
- 978-3-319-36489-6
- Series ISSN
- 1860-949X
- Edition Number
- 1
- Number of Pages
- X, 213
- Number of Illustrations
- 70 b/w illustrations
- Topics
