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001 978-3-642-17155-0
003 DE-He213
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020 _a9783642171550
_9978-3-642-17155-0
024 7 _a10.1007/978-3-642-17155-0
_2doi
050 4 _aQ334-342
050 4 _aTA347.A78
072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
_2bisacsh
072 7 _aUYQ
_2thema
082 0 4 _a006.3
_223
245 1 0 _aTransactions on Computational Collective Intelligence II
_h[electronic resource].
250 _a1st ed. 2010.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2010.
300 _aVII, 197 p. 51 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aTransactions on Computational Collective Intelligence,
_x2511-6053 ;
_v6450
505 0 _aIntegration Proposal for Description Logic and Attributive Logic – Towards Semantic Web Rules -- A Cross-Cultural Multi-agent Model of Opportunism in Trade -- Enhancing Social Search: A Computational Collective Intelligence Model of Behavioural Traits, Trust and Time -- Group-Oriented Services: A Shift towards Consumer-Managed Relationships in the Telecom Industry -- The Semantic Web: From Representation to Realization -- Decision Support System Based on Computational Collective Intelligence in Campus Information Systems -- Fuel Crime Conceptualization through Specialization of Ontology for Investigation Management System -- A Robust Approach for Nonlinear UAV Task Assignment Problem under Uncertainty -- Pricing the Services in Dynamic Environment: Agent Pricing Model -- JABAT Middleware as a Tool for Solving Optimization Problems.
520 _aWelcome to the second volume of Transactions on Computational Collective Intel- gence (TCCI), a new journal devoted to research in computer-based methods of c- putational collective intelligence (CCI) and their applications in a wide range of fields such as the Semantic Web, social networks and multi-agent 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 int- ligence technologies such as fuzzy systems, evolutionary computation, neural s- tems, consensus theory, etc. , aims to support human and other collective intelligence and to create new forms of CCI in natural and/or artificial systems. TCCI is a double-blind refereed and authoritative reference dealing with the wo- ing potential of CCI methodologies and applications, as well as emerging issues of interest to academics and practitioners. This second issue contains a collection of 10 articles selected from high-quality submissions addressing advances in the foun- tions and applications of computational collective intelligence. In “Integration P- posal for Description Logic and Attributive Logic – Towards Semantic Web Rules” G. Nalepa and W. Furmanska propose a transition from attributive logic to description logic in order to improve the design of Semantic Web rules. K. Thorisson et al.
650 0 _aArtificial intelligence.
650 0 _aComputer networks .
650 0 _aSoftware engineering.
650 0 _aApplication software.
650 0 _aInformation storage and retrieval systems.
650 1 4 _aArtificial Intelligence.
650 2 4 _aComputer Communication Networks.
650 2 4 _aSoftware Engineering.
650 2 4 _aComputer and Information Systems Applications.
650 2 4 _aInformation Storage and Retrieval.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783642171543
776 0 8 _iPrinted edition:
_z9783642171567
830 0 _aTransactions on Computational Collective Intelligence,
_x2511-6053 ;
_v6450
856 4 0 _uhttps://doi.org/10.1007/978-3-642-17155-0
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912 _aZDB-2-SXCS
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