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Computer Science - Artificial Intelligence | Transactions on Computational Collective Intelligence VIII

Transactions on Computational Collective Intelligence VIII

Nguyen, Ngoc Thanh (Ed.)

2012, X, 229 p. 82 illus.

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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 eighth issue contains a collection of ten carefully selected and thorougly revised contributions.

Content Level » Professional/practitioner

Keywords » active sets - agent models - learning automata - multi-agent simulation - tutoring systems

Related subjects » Artificial Intelligence - Database Management & Information Retrieval - HCI - Theoretical Computer Science

Table of contents 

Introduction to Active Sets and Unification.- Modeling a Teacher in a Tutorial-like System Using Learning Automata.- Power Network Reliability Computations Using Multi-agent Simulation.- Sequence Automata for Researching Consensus Levels.- An Analysis of the Influence of Fundamental Indexing on Financial Markets through Agent-Based Modeling: The Fundamentalist and Fundamental Indexing.- Agent-Driven Integration Architecture for Component-Based Software Development.- Adaptive Tutoring in an Intelligent Conversational Agent System.- Biological and Computational Perspectives on the Emergence of Social Phenomena: Shared Understanding and Collective Power.- Agent-Based Crowd Simulation in Airports Using Games Technology.- Approximate Algorithms for Solving O1 Consensus Problems Using Complex Tree Structure.- Author Index.

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