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Titlebook: New Challenges in Computational Collective Intelligence; Ngoc Thanh Nguyen,Radosław Piotr Katarzyniak,Adam Book 2009 Springer-Verlag Berl

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书目名称New Challenges in Computational Collective Intelligence
编辑Ngoc Thanh Nguyen,Radosław Piotr Katarzyniak,Adam
视频video
概述Latest research and new Challenges in Computational Collective Intelligence
丛书名称Studies in Computational Intelligence
图书封面Titlebook: New Challenges in Computational Collective Intelligence;  Ngoc Thanh Nguyen,Radosław Piotr Katarzyniak,Adam  Book 2009 Springer-Verlag Berl
描述Collective intelligence has become one of major research issues studied by today’s and future computer science. Computational collective intelligence is understood as this form of group intellectual activity that emerges from collaboration and compe- tion of many artificial individuals. Robotics, artificial intelligence, artificial cognition and group working try to create efficient models for collective intelligence in which it emerges from sets of actions carried out by more or less intelligent individuals. The major methodological, theoretical and practical aspects underlying computational collective intelligence are group decision making, collective action coordination, collective competition and knowledge description, transfer and integration. Obviously, the application of multiple computational technologies such as fuzzy systems, evo- tionary computation, neural systems, consensus theory, knowledge representation etc. is necessary to create new forms of computational collective intelligence and support existing ones. Three subfields of application of computational technologies to support forms of collective intelligence are of special attention to us. The first one is semanti
出版日期Book 2009
关键词Multi-agent system; Ontologie; agents; collective intelligence; evolution; knowledge; knowledge-based syst
版次1
doihttps://doi.org/10.1007/978-3-642-03958-4
isbn_softcover978-3-642-26928-8
isbn_ebook978-3-642-03958-4Series ISSN 1860-949X Series E-ISSN 1860-9503
issn_series 1860-949X
copyrightSpringer-Verlag Berlin Heidelberg 2009
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Visualization Framework of Information Map in Blog Using Ontologynd content will be extracted, how the ontology will be implemented in this system and how visualization framework will be done. From this proposed visualization, we highly expect to provide an interactive tool for information retrieval where blogger can have multiple ways to catch the information from the favorite blogs.
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Data Portability across Social Networksilt upon “pull” strategy, although “push” strategy is shortly discussed. Test case developed to practically measure the feasibility of the proposed framework will be subject of our discussion. This study was linked to existing research and conclusions were drawn for further development.
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Applying Caching Capabilities to Inference Applications Based on Semantic Webg and inference techniques. Caching strategies have previously been applied to simple XML queries. Performance has been evaluated using an existing system for medical diagnosis, which demonstrates the increased efficiency of the system.
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