Please use this identifier to cite or link to this item: http://localhost/handle/Hannan/1193
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dc.contributor.authorBurguillo, Juan C. ;en_US
dc.date.accessioned2013en_US
dc.date.accessioned2020-05-17T08:26:23Z-
dc.date.available2020-05-17T08:26:23Z-
dc.date.issued2018en_US
dc.identifier.isbn9783319698984 ;en_US
dc.identifier.isbn9783319698960 (print) ;en_US
dc.identifier.urihttp://localhost/handle/Hannan/1193-
dc.descriptionSpringerLink (Online service) ;en_US
dc.descriptionen_US
dc.descriptionPrinted edition: ; 9783319698960. ;en_US
dc.descriptionen_US
dc.descriptionen_US
dc.descriptionen_US
dc.description.abstractThis book provides an interdisciplinary approach to complexity, combining ideas from areas like complex networks, cellular automata, multi-agent systems, self-organization and game theory. The first part of the book provides an extensive introduction to these areas, while the second explores a range of research scenarios. Lastly, the book presents CellNet, a software framework that offers a hands-on approach to the scenarios described throughout the book. In light of the introductory chapters, the research chapters, and the CellNet simulating framework, this book can be used to teach undergraduate and masterees students in disciplines like artificial intelligence, computer science, applied mathematics, economics and engineering. Moreover, the book will be particularly interesting for Ph.D. and postdoctoral researchers seeking a general perspective on how to design and create their own models. ;en_US
dc.description.statementofresponsibilityby Juan C. Burguillo.en_US
dc.description.tableofcontentsIntroduction.-eComplex Systems -- Complex Networks.-eCellular Automata.-eMulti-agent Systems -- Self-Organization.-eGame Theory.-eOptimization Models with Coalitional Cellular Automata -- Time Series Prediction using Coalitions and Self-Organizing Maps. ;en_US
dc.format.extentXVI, 343 p. 187 illus., 149 illus. in color. ; online resource. ;en_US
dc.publisherSpringer International Publishing :en_US
dc.publisherImprint: Springer,en_US
dc.relation.ispartofseriesEmergence, Complexity and Computation, ; 2194-7287 ; ; 29. ;en_US
dc.relation.ispartofseriesEmergence, Complexity and Computation, ; 2194-7287 ; ; 29. ;en_US
dc.relation.haspart9783319698960.pdfen_US
dc.subjectEngineeringen_US
dc.subjectComputational intelligence. ;en_US
dc.subjectComplexity, Computational. ;en_US
dc.subjectEngineeringen_US
dc.subjectComplexity. ;en_US
dc.subjectComputational Intelligence. ;en_US
dc.subjectOperations Research/Decision Theory. ;en_US
dc.subjectApplications of Graph Theory and Complex Networks. ;en_US
dc.subject.ddc620 ; 23 ;en_US
dc.subject.lccQA76.9.M35 ;en_US
dc.titleSelf-organizing Coalitions for Managing Complexityen_US
dc.title.alternativeAgent-based Simulation of Evolutionary Game Theory Models using Dynamic Social Networks for Interdisciplinary Applications /en_US
dc.typeBooken_US
dc.publisher.placeCham :en_US
Appears in Collections:مدیریت فناوری اطلاعات

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Full metadata record
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dc.contributor.authorBurguillo, Juan C. ;en_US
dc.date.accessioned2013en_US
dc.date.accessioned2020-05-17T08:26:23Z-
dc.date.available2020-05-17T08:26:23Z-
dc.date.issued2018en_US
dc.identifier.isbn9783319698984 ;en_US
dc.identifier.isbn9783319698960 (print) ;en_US
dc.identifier.urihttp://localhost/handle/Hannan/1193-
dc.descriptionSpringerLink (Online service) ;en_US
dc.descriptionen_US
dc.descriptionPrinted edition: ; 9783319698960. ;en_US
dc.descriptionen_US
dc.descriptionen_US
dc.descriptionen_US
dc.description.abstractThis book provides an interdisciplinary approach to complexity, combining ideas from areas like complex networks, cellular automata, multi-agent systems, self-organization and game theory. The first part of the book provides an extensive introduction to these areas, while the second explores a range of research scenarios. Lastly, the book presents CellNet, a software framework that offers a hands-on approach to the scenarios described throughout the book. In light of the introductory chapters, the research chapters, and the CellNet simulating framework, this book can be used to teach undergraduate and masterees students in disciplines like artificial intelligence, computer science, applied mathematics, economics and engineering. Moreover, the book will be particularly interesting for Ph.D. and postdoctoral researchers seeking a general perspective on how to design and create their own models. ;en_US
dc.description.statementofresponsibilityby Juan C. Burguillo.en_US
dc.description.tableofcontentsIntroduction.-eComplex Systems -- Complex Networks.-eCellular Automata.-eMulti-agent Systems -- Self-Organization.-eGame Theory.-eOptimization Models with Coalitional Cellular Automata -- Time Series Prediction using Coalitions and Self-Organizing Maps. ;en_US
dc.format.extentXVI, 343 p. 187 illus., 149 illus. in color. ; online resource. ;en_US
dc.publisherSpringer International Publishing :en_US
dc.publisherImprint: Springer,en_US
dc.relation.ispartofseriesEmergence, Complexity and Computation, ; 2194-7287 ; ; 29. ;en_US
dc.relation.ispartofseriesEmergence, Complexity and Computation, ; 2194-7287 ; ; 29. ;en_US
dc.relation.haspart9783319698960.pdfen_US
dc.subjectEngineeringen_US
dc.subjectComputational intelligence. ;en_US
dc.subjectComplexity, Computational. ;en_US
dc.subjectEngineeringen_US
dc.subjectComplexity. ;en_US
dc.subjectComputational Intelligence. ;en_US
dc.subjectOperations Research/Decision Theory. ;en_US
dc.subjectApplications of Graph Theory and Complex Networks. ;en_US
dc.subject.ddc620 ; 23 ;en_US
dc.subject.lccQA76.9.M35 ;en_US
dc.titleSelf-organizing Coalitions for Managing Complexityen_US
dc.title.alternativeAgent-based Simulation of Evolutionary Game Theory Models using Dynamic Social Networks for Interdisciplinary Applications /en_US
dc.typeBooken_US
dc.publisher.placeCham :en_US
Appears in Collections:مدیریت فناوری اطلاعات

Files in This Item:
File Description SizeFormat 
9783319698960.pdf25.5 MBAdobe PDFThumbnail
Preview File
Full metadata record
DC FieldValueLanguage
dc.contributor.authorBurguillo, Juan C. ;en_US
dc.date.accessioned2013en_US
dc.date.accessioned2020-05-17T08:26:23Z-
dc.date.available2020-05-17T08:26:23Z-
dc.date.issued2018en_US
dc.identifier.isbn9783319698984 ;en_US
dc.identifier.isbn9783319698960 (print) ;en_US
dc.identifier.urihttp://localhost/handle/Hannan/1193-
dc.descriptionSpringerLink (Online service) ;en_US
dc.descriptionen_US
dc.descriptionPrinted edition: ; 9783319698960. ;en_US
dc.descriptionen_US
dc.descriptionen_US
dc.descriptionen_US
dc.description.abstractThis book provides an interdisciplinary approach to complexity, combining ideas from areas like complex networks, cellular automata, multi-agent systems, self-organization and game theory. The first part of the book provides an extensive introduction to these areas, while the second explores a range of research scenarios. Lastly, the book presents CellNet, a software framework that offers a hands-on approach to the scenarios described throughout the book. In light of the introductory chapters, the research chapters, and the CellNet simulating framework, this book can be used to teach undergraduate and masterees students in disciplines like artificial intelligence, computer science, applied mathematics, economics and engineering. Moreover, the book will be particularly interesting for Ph.D. and postdoctoral researchers seeking a general perspective on how to design and create their own models. ;en_US
dc.description.statementofresponsibilityby Juan C. Burguillo.en_US
dc.description.tableofcontentsIntroduction.-eComplex Systems -- Complex Networks.-eCellular Automata.-eMulti-agent Systems -- Self-Organization.-eGame Theory.-eOptimization Models with Coalitional Cellular Automata -- Time Series Prediction using Coalitions and Self-Organizing Maps. ;en_US
dc.format.extentXVI, 343 p. 187 illus., 149 illus. in color. ; online resource. ;en_US
dc.publisherSpringer International Publishing :en_US
dc.publisherImprint: Springer,en_US
dc.relation.ispartofseriesEmergence, Complexity and Computation, ; 2194-7287 ; ; 29. ;en_US
dc.relation.ispartofseriesEmergence, Complexity and Computation, ; 2194-7287 ; ; 29. ;en_US
dc.relation.haspart9783319698960.pdfen_US
dc.subjectEngineeringen_US
dc.subjectComputational intelligence. ;en_US
dc.subjectComplexity, Computational. ;en_US
dc.subjectEngineeringen_US
dc.subjectComplexity. ;en_US
dc.subjectComputational Intelligence. ;en_US
dc.subjectOperations Research/Decision Theory. ;en_US
dc.subjectApplications of Graph Theory and Complex Networks. ;en_US
dc.subject.ddc620 ; 23 ;en_US
dc.subject.lccQA76.9.M35 ;en_US
dc.titleSelf-organizing Coalitions for Managing Complexityen_US
dc.title.alternativeAgent-based Simulation of Evolutionary Game Theory Models using Dynamic Social Networks for Interdisciplinary Applications /en_US
dc.typeBooken_US
dc.publisher.placeCham :en_US
Appears in Collections:مدیریت فناوری اطلاعات

Files in This Item:
File Description SizeFormat 
9783319698960.pdf25.5 MBAdobe PDFThumbnail
Preview File