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Transactions on Computational Collective Intelligence X: Lecture Notes in Computer Science, cartea 7776

Editat de Ngoc-Thanh Nguyen
en Limba Engleză Paperback – 7 iun 2013
These transactions publish research in computer-based methods of computational collective intelligence (CCI) and their applications in a wide range of fields such as the Semantic Web, social networks, and multi-agent systems. TCCI strives to cover new methodological, theoretical and practical aspects of CCI understood as the form of intelligence that emerges from the collaboration and competition of many individuals (artificial and/or natural). The application of multiple computational intelligence technologies, such as fuzzy systems, evolutionary computation, neural systems, consensus theory, etc., aims to support human and other collective intelligence and to create new forms of CCI in natural and/or artificial systems. This tenth issue contains 13 carefully selected and thoroughly revised contributions.
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Specificații

ISBN-13: 9783642384950
ISBN-10: 3642384951
Pagini: 220
Ilustrații: XII, 207 p. 64 illus.
Dimensiuni: 155 x 235 x 12 mm
Greutate: 0.32 kg
Ediția:2013
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seriile Lecture Notes in Computer Science, Transactions on Computational Collective Intelligence

Locul publicării:Berlin, Heidelberg, Germany

Public țintă

Professional/practitioner

Cuprins

Markov Chain Based Analysis of Agent-Based Immunological System.- Towards Dynamic Orchestration of Semantic Web Services.- Agent-Based Framework Facilitating Component-Based Implementation of Distributed Computational Intelligence Systems.- A Hardware Collective Intelligence Agent.- Cloud Search Engine for IaaS.- Data Scheduling in Data Grids and Data Centers: A Short Taxonomy of Problems and Intelligent Resolution Techniques.- Improving Scalability of an Hybrid Infrastructure for E-Science Applications.- Energy Aware Communication Protocols for Wireless Sensor Networks.- GPU Acceleration for Hermitian Eigensystems.- Scalable and High Performing Learning and Mining in Large-Scale Networked Environments: A State-of-the-art Survey.

Caracteristici

Journal-like review process State-of-the-art report Deals with emerging topics in the fields of semantic web, social networks, multi-agent systems