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020 _a9783662584644
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024 7 _a10.1007/978-3-662-58464-4
_2doi
050 4 _aQ334-342
050 4 _aTA347.A78
072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
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072 7 _aUYQ
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082 0 4 _a006.3
_223
245 1 0 _aTransactions on Computational Collective Intelligence XXXI
_h[electronic resource] /
_cedited by Ngoc Thanh Nguyen, Richard Kowalczyk, Jacek Mercik, Anna Motylska-Kuźma.
250 _a1st ed. 2018.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2018.
300 _aXI, 147 p. 31 illus., 10 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
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_2rdacarrier
347 _atext file
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490 1 _aTransactions on Computational Collective Intelligence,
_x2511-6053 ;
_v11290
505 0 _aAn equivalent formulation for the Shapley value -- Reflections on two old Condorcet extensions -- Transforming Games with Affinities from Characteristic into Normal Form -- Comparing Game-Theoretic and Maximum Likelihood Approaches for Network Partitioning -- Comparing results of voting by statistical rank tests -- Remarks on Unrounded Degressively Proportional Allocation -- On the Measurement of Control in Corporate Structures -- The Effect of Brexit on the Balance of Power in the European Union Council revisited: a fuzzy multicriteria attempt -- Robustness of the Government and the Parliament, and Legislative Procedures in Europe -- Should the financial decisions be made as group decisions? -- Diffusion of electric vehicles: an agent-based modelling approach -- Decision progress based on IoT for suitable smart cities. .
520 _aThese transactions publish research in computer-based methods of computational 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 intelligence technologies, such as fuzzy systems, evolutionary computation, neural systems, consensus theory, etc., aims to support human and other collective intelligence and to create new forms of CCI in natural and/or artificial systems. This thirty-first issue presents 12 selected papers from the 3rd Seminar on Quantitative Methods of Group Decision Making which was held in November 2017 at the WSB University in Wroclaw.
650 0 _aArtificial intelligence.
_93407
650 0 _aComputer engineering.
_910164
650 0 _aComputer networks .
_931572
650 0 _aComputer science
_xMathematics.
_93866
650 1 4 _aArtificial Intelligence.
_93407
650 2 4 _aComputer Engineering and Networks.
_9167314
650 2 4 _aComputer Communication Networks.
_9167315
650 2 4 _aMathematics of Computing.
_931875
700 1 _aNguyen, Ngoc Thanh.
_eeditor.
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700 1 _aKowalczyk, Richard.
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700 1 _aMercik, Jacek.
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_9167318
700 1 _aMotylska-Kuźma, Anna.
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710 2 _aSpringerLink (Online service)
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773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
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776 0 8 _iPrinted edition:
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830 0 _aTransactions on Computational Collective Intelligence,
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_v11290
_9167321
856 4 0 _uhttps://doi.org/10.1007/978-3-662-58464-4
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