Computational Collective Intelligence. Technologies and by Adrianna Kozierkiewicz-Hetmańska (auth.), Ngoc-Thanh Nguyen,
By Adrianna Kozierkiewicz-Hetmańska (auth.), Ngoc-Thanh Nguyen, Kiem Hoang, Piotr Jȩdrzejowicz (eds.)
The volumes set LNCS 7653 and 7654 constitutes the refereed court cases of the 4th overseas convention on Computational Collective Intelligence, ICCCI, held in Ho Chi Minh urban, Vietnam, in November 2012. The 113 revised complete papers offered have been conscientiously reviewed and chosen from 397 submissions. The papers are geared up in topical sections on (Part I) wisdom integration; information mining for collective processing; fuzzy, modal, and collective platforms; nature encouraged structures; language processing structures; social networks and semantic net; agent and multi-agent platforms; type and clustering tools; modeling and optimization thoughts for company intelligence; (Part II) multi-dimensional information processing; internet platforms; clever choice making; tools for scheduling; collective intelligence in net structures – internet structures research; complex info mining innovations and functions; cooperative challenge fixing; computational swarm intelligence; and semantic equipment for wisdom discovery and communication
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Additional resources for Computational Collective Intelligence. Technologies and Applications: 4th International Conference, ICCCI 2012, Ho Chi Minh City, Vietnam, November 28-30, 2012, Proceedings, Part I
Additionally, authors want to carry out more analysis of susceptibility to the consensus of profiles for more complicated micro- and macrostructures. References 1. : Social Choice and Individual Values. Wiley, New York (1963) 2. : Solving the consensus problem in a mobile environment. In: Proc. of IEEE International Performance, Computing and Communications Conference, pp. 29–35. IEEE, Piscatawy (1999) 3. : Thresholded consensus for n-trees. Journal of Classification 5, 229–236 (1988) 4. : A Formal Theory of Consensus.
In this work we use ontology as a semantic model of collaborative process on social networking. Ontology represents a special domain of collaboration. Each concept represents a problem and individuals create instances for a corresponding concept in a collaborative group. The structure of a collaborative group is distinguished by three types including centralized-, decentralized-, and distributed group. For each group type, we propose a corresponding algorithm for conflict resolution using consensus choice.
Knowledge Communities: Online Environments for Supporting Knowledge Management and its Social Context. IBM. T. J. Watson Research Center (2001) 8. : Ucinet for windows: Software for social network analysis. Analytic Technologies, Harvard (2002) 9. : Collaborative Process Development using Semantic MediaWiki. In: Proceedings of the 5th Conference of Professional Knowledge Management, Solothurn, Switzerland, pp. 97–107 (2009) Integrating Multiple Experts for Correction Process in Interactive Recommendation Systems Xuan Hau Pham1 , Jason J.