Please use this identifier to cite or link to this item:
http://localhost/handle/Hannan/2721
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Burguillo, Juan C. ; | en_US |
dc.date.accessioned | 2013 | en_US |
dc.date.accessioned | 2020-05-17T08:40:13Z | - |
dc.date.available | 2020-05-17T08:40:13Z | - |
dc.date.issued | 2018 | en_US |
dc.identifier.isbn | 9783319698984 ; | en_US |
dc.identifier.isbn | 9783319698960 (print) ; | en_US |
dc.identifier.uri | http://localhost/handle/Hannan/2721 | - |
dc.description | SpringerLink (Online service) ; | en_US |
dc.description | en_US | |
dc.description | Printed edition: ; 9783319698960. ; | en_US |
dc.description | en_US | |
dc.description | en_US | |
dc.description | en_US | |
dc.description.abstract | This 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.statementofresponsibility | by Juan C. Burguillo. | en_US |
dc.description.tableofcontents | Introduction.-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.extent | XVI, 343 p. 187 illus., 149 illus. in color. ; online resource. ; | en_US |
dc.publisher | Springer International Publishing : | en_US |
dc.publisher | Imprint: Springer, | en_US |
dc.relation.ispartofseries | Emergence, Complexity and Computation, ; 2194-7287 ; ; 29. ; | en_US |
dc.relation.ispartofseries | Emergence, Complexity and Computation, ; 2194-7287 ; ; 29. ; | en_US |
dc.relation.haspart | 9783319698984.pdf | en_US |
dc.subject | Engineering | en_US |
dc.subject | Computational intelligence. ; | en_US |
dc.subject | Complexity, Computational. ; | en_US |
dc.subject | Engineering | en_US |
dc.subject | Complexity. ; | en_US |
dc.subject | Computational Intelligence. ; | en_US |
dc.subject | Operations Research/Decision Theory. ; | en_US |
dc.subject | Applications of Graph Theory and Complex Networks. ; | en_US |
dc.title | Self-organizing Coalitions for Managing Complexity | en_US |
dc.title.alternative | Agent-based Simulation of Evolutionary Game Theory Models using Dynamic Social Networks for Interdisciplinary Applications / | en_US |
dc.type | Book | en_US |
dc.publisher.place | Cham : | en_US |
dc.classification.lc | QA76.9.M35 ; | en_US |
dc.classification.dc | 620 ; 23 ; | en_US |
Appears in Collections: | مهندسی فناوری اطلاعات |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
9783319698984.pdf | 25.5 MB | Adobe PDF | Preview File |
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Burguillo, Juan C. ; | en_US |
dc.date.accessioned | 2013 | en_US |
dc.date.accessioned | 2020-05-17T08:40:13Z | - |
dc.date.available | 2020-05-17T08:40:13Z | - |
dc.date.issued | 2018 | en_US |
dc.identifier.isbn | 9783319698984 ; | en_US |
dc.identifier.isbn | 9783319698960 (print) ; | en_US |
dc.identifier.uri | http://localhost/handle/Hannan/2721 | - |
dc.description | SpringerLink (Online service) ; | en_US |
dc.description | en_US | |
dc.description | Printed edition: ; 9783319698960. ; | en_US |
dc.description | en_US | |
dc.description | en_US | |
dc.description | en_US | |
dc.description.abstract | This 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.statementofresponsibility | by Juan C. Burguillo. | en_US |
dc.description.tableofcontents | Introduction.-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.extent | XVI, 343 p. 187 illus., 149 illus. in color. ; online resource. ; | en_US |
dc.publisher | Springer International Publishing : | en_US |
dc.publisher | Imprint: Springer, | en_US |
dc.relation.ispartofseries | Emergence, Complexity and Computation, ; 2194-7287 ; ; 29. ; | en_US |
dc.relation.ispartofseries | Emergence, Complexity and Computation, ; 2194-7287 ; ; 29. ; | en_US |
dc.relation.haspart | 9783319698984.pdf | en_US |
dc.subject | Engineering | en_US |
dc.subject | Computational intelligence. ; | en_US |
dc.subject | Complexity, Computational. ; | en_US |
dc.subject | Engineering | en_US |
dc.subject | Complexity. ; | en_US |
dc.subject | Computational Intelligence. ; | en_US |
dc.subject | Operations Research/Decision Theory. ; | en_US |
dc.subject | Applications of Graph Theory and Complex Networks. ; | en_US |
dc.title | Self-organizing Coalitions for Managing Complexity | en_US |
dc.title.alternative | Agent-based Simulation of Evolutionary Game Theory Models using Dynamic Social Networks for Interdisciplinary Applications / | en_US |
dc.type | Book | en_US |
dc.publisher.place | Cham : | en_US |
dc.classification.lc | QA76.9.M35 ; | en_US |
dc.classification.dc | 620 ; 23 ; | en_US |
Appears in Collections: | مهندسی فناوری اطلاعات |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
9783319698984.pdf | 25.5 MB | Adobe PDF | Preview File |
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Burguillo, Juan C. ; | en_US |
dc.date.accessioned | 2013 | en_US |
dc.date.accessioned | 2020-05-17T08:40:13Z | - |
dc.date.available | 2020-05-17T08:40:13Z | - |
dc.date.issued | 2018 | en_US |
dc.identifier.isbn | 9783319698984 ; | en_US |
dc.identifier.isbn | 9783319698960 (print) ; | en_US |
dc.identifier.uri | http://localhost/handle/Hannan/2721 | - |
dc.description | SpringerLink (Online service) ; | en_US |
dc.description | en_US | |
dc.description | Printed edition: ; 9783319698960. ; | en_US |
dc.description | en_US | |
dc.description | en_US | |
dc.description | en_US | |
dc.description.abstract | This 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.statementofresponsibility | by Juan C. Burguillo. | en_US |
dc.description.tableofcontents | Introduction.-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.extent | XVI, 343 p. 187 illus., 149 illus. in color. ; online resource. ; | en_US |
dc.publisher | Springer International Publishing : | en_US |
dc.publisher | Imprint: Springer, | en_US |
dc.relation.ispartofseries | Emergence, Complexity and Computation, ; 2194-7287 ; ; 29. ; | en_US |
dc.relation.ispartofseries | Emergence, Complexity and Computation, ; 2194-7287 ; ; 29. ; | en_US |
dc.relation.haspart | 9783319698984.pdf | en_US |
dc.subject | Engineering | en_US |
dc.subject | Computational intelligence. ; | en_US |
dc.subject | Complexity, Computational. ; | en_US |
dc.subject | Engineering | en_US |
dc.subject | Complexity. ; | en_US |
dc.subject | Computational Intelligence. ; | en_US |
dc.subject | Operations Research/Decision Theory. ; | en_US |
dc.subject | Applications of Graph Theory and Complex Networks. ; | en_US |
dc.title | Self-organizing Coalitions for Managing Complexity | en_US |
dc.title.alternative | Agent-based Simulation of Evolutionary Game Theory Models using Dynamic Social Networks for Interdisciplinary Applications / | en_US |
dc.type | Book | en_US |
dc.publisher.place | Cham : | en_US |
dc.classification.lc | QA76.9.M35 ; | en_US |
dc.classification.dc | 620 ; 23 ; | en_US |
Appears in Collections: | مهندسی فناوری اطلاعات |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
9783319698984.pdf | 25.5 MB | Adobe PDF | Preview File |