Computational Collective Intelligence. Semantic Web, Social Networks and Multiagent Systems: First International Conference, ICCCI 2009, Wroclaw, Pola [Paperback]
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Computational collective intelligence (CCI) is most often understood as a subfield of artificial intelligence (AI) dealing with soft computing methods that enable group decisions to be made or knowledge to be processed among autonomous units acting in distributed environments. The needs for CCI techniques and tools have grown signi- cantly recently as many information systems work in distributed environments and use distributed resources. 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. Therefore, CCI is of great importance for todays and future distributed systems. Methodological, theoretical and practical aspects of computational collective int- ligence, such as group decision making, collective action coordination, and knowledge integration, are considered as the form of intelligence that emerges from the collabo- tion 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. , can support human and other collective intelligence and create new forms of CCI in natural and/or artificial s- tems.Keynote Speeches.- Rough Set Approach to Knowledge Discovery about Preferences.- Toward a Self-referential Collective Intelligence Some Philosophical Background of the IEML Research Program.- A-Teams and Their Applications.- Collective Decision Making.- Local Search Algorithms for Core Checking in Hedonic Coalition Games.- Information Foraging Theory as a Form of Collective Intelligence for Social Search.- SAM: Semantic Argumentation Based Model for Collaborative Knowledge Creation and Sharing System.- A Conception for Modification of Learning Scenario in an Intelligent E-learning System.- Firefly Algorithm for Continuous Constrained Optimization Tasks.- Distributed Data Mining Methodology wl£1