Computational Collective Intelligence: Semantic Web, Social Networks and Multiagent Systems: First International Conference, ICCCI 2009, Wroc?aw, Poland, October 2009, Proceedings
Ryszard Kowalczyk, Shyi-Ming Chen, Ngoc Thanh Nguyen
Language: English
Pages: 875
ISBN: 2:00069536
Format: PDF / Kindle (mobi) / ePub
This book constitutes the proceedings of the First International Conference on Computational Collective Intelligence, ICCCI 2009, held in Wroclaw, Poland, in October 2009. The 71 papers presented in this volume together with 3 keynote speeches were carefully reviewed and selected from 212 submissions. The papers are organized in topical sections on collective decision making, multiagent systems, social networks, semantic web, ontology management, dynamics of real-world social networks, nature-inspired collective intelligence, web systems analysis, collective intelligence for economic data analysis.
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Implicit web-rankings by reasoning over users’ activity during a web-search but without recourse to explicit human intervention. This paper focuses on a novel Social Search formal model based on Information Foraging Theory, showing a different way to implicitly judge web entities by considering effort expended by users in viewing them. 100 university students were recruited to explicitly evaluate the usefulness of 12 thematic web-sites and an experiment was performed implicitly gathering their.
Behaviour of animals by taking into account the payoff that animal obtains from different foraging options. Information Foraging Theory seeks to explain and predict how people will best adapt themselves for their information environments and how information environments can thus be best adapted to people. The human propensity to gather and use information to adapt to everyday problems in the world is a core concept in human psychology that has been largely ignored in cognitive studies. Humans have.
Behaviour of animals by taking into account the payoff that animal obtains from different foraging options. Information Foraging Theory seeks to explain and predict how people will best adapt themselves for their information environments and how information environments can thus be best adapted to people. The human propensity to gather and use information to adapt to everyday problems in the world is a core concept in human psychology that has been largely ignored in cognitive studies. Humans have.
Other specialists’. The doctor uses the knowledge in his everyday practice, while taking care of patients, making the treatment decisions and reporting them in the IPFs. If assume an ideal situation in which all the doctor’s decisions are fully consistent with his medical knowledge, the IPFs can be regarded as a perfect image of this knowledge. Then, a methodological analysis of data from numerous IPFs could enable discovering global medical knowledge. Let us consider the case of an expert in.
Mechanism. The proposed N.T. Nguyen, R. Kowalczyk, and S.-M. Chen (Eds.): ICCCI 2009, LNAI 5796, pp. 152–162, 2009. © Springer-Verlag Berlin Heidelberg 2009 A New ACO Algorithm with an Escape Mechanism for Scheduling Problems 153 algorithm is, in this study, to solve a single machine total weighted tardiness problem, a flow shop scheduling problem for makespan minimization, and a job shop scheduling problem for makespan minimization and, then, to be tested and examined for its efficiency. 2.