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.
General
Imprint: |
Springer International Publishing AG
|
Country of origin: |
Switzerland |
Series: |
Studies in Computational Intelligence, 572 |
Release date: |
September 2016 |
First published: |
2015 |
Editors: |
David Camacho
• Sang-Wook Kim
• Bogdan TrawiÅ„ski
|
Dimensions: |
235 x 155 x 12mm (L x W x T) |
Format: |
Paperback
|
Pages: |
213 |
Edition: |
Softcover reprint of the original 1st ed. 2015 |
ISBN-13: |
978-3-319-36489-6 |
Categories: |
Books >
Computing & IT >
General
|
LSN: |
3-319-36489-8 |
Barcode: |
9783319364896 |
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