Transactions on Computational Collective Intelligence VI

Name: Transactions on Computational Collective Intelligence VI
Brand: Springer, Berlin
SKU: 9783642293559
Price: 19879 HUF
Availability: InStock

Szerző: Ngoc Thanh Nguyen

Nyelv:

Kötés: Puha kötésű

Kiadó: Springer, Berlin

Elérhetőség: Beszállítói készleten

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These Transactions publish research in computer-based methods of computational collective intelligen...

Információk a könyvről

Szerző

Ngoc Thanh Nguyen

Nyelv

Angol

Kötés

Könyv - Puha kötésű

Kiadva

2012

oldal

224

EAN

9783642293559

ISBN

3642293557

Enbook ID

01660887

Kiadó

Springer, Berlin

Súly

337

Méretek

155 x 235 x 12

Teljes leírás

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 multiagent 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 sixth issue contains a collection of ten carefully selected and thoroughly revised contributions. The articles deal with the following topics: pattern recognition and classification of stochastically episodic events, Semantic Web agents, cognitive and affective empathic understanding of other agents, multiagent based simulation, distribution and maintenance of knowledge represented by complementary graphs, distributed mobile interactive documents in knowledge-based organizations, adversarial teams in dynamic environment, bounded rational telecommunication operators, reasoning about time-dependent multiagents, and predictive models for financial time series by using agent-based simulations.

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Transactions on Computational Collective Intelligence VI

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