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Title: | Self-organizing Coalitions for Managing Complexity |
Other Titles: | Agent-based Simulation of Evolutionary Game Theory Models using Dynamic Social Networks for Interdisciplinary Applications / |
Authors: | Burguillo, Juan C. ; |
subject: | Engineering;Computational intelligence. ;;Complexity, Computational. ;;Engineering;Complexity. ;;Computational Intelligence. ;;Operations Research/Decision Theory. ;;Applications of Graph Theory and Complex Networks. ; |
Year: | 2018 |
place: | Cham : |
Publisher: | Springer International Publishing : Imprint: Springer, |
Series/Report no.: | Emergence, Complexity and Computation, ; 2194-7287 ; ; 29. ; Emergence, Complexity and Computation, ; 2194-7287 ; ; 29. ; |
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. ; |
Description: | SpringerLink (Online service) ; Printed edition: ; 9783319698960. ; |
URI: | http://localhost/handle/Hannan/2721 |
ISBN: | 9783319698984 ; 9783319698960 (print) ; |
More Information: | XVI, 343 p. 187 illus., 149 illus. in color. ; online resource. ; |
Appears in Collections: | مهندسی فناوری اطلاعات |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
9783319698984.pdf | 25.5 MB | Adobe PDF | Preview File |
Title: | Self-organizing Coalitions for Managing Complexity |
Other Titles: | Agent-based Simulation of Evolutionary Game Theory Models using Dynamic Social Networks for Interdisciplinary Applications / |
Authors: | Burguillo, Juan C. ; |
subject: | Engineering;Computational intelligence. ;;Complexity, Computational. ;;Engineering;Complexity. ;;Computational Intelligence. ;;Operations Research/Decision Theory. ;;Applications of Graph Theory and Complex Networks. ; |
Year: | 2018 |
place: | Cham : |
Publisher: | Springer International Publishing : Imprint: Springer, |
Series/Report no.: | Emergence, Complexity and Computation, ; 2194-7287 ; ; 29. ; Emergence, Complexity and Computation, ; 2194-7287 ; ; 29. ; |
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. ; |
Description: | SpringerLink (Online service) ; Printed edition: ; 9783319698960. ; |
URI: | http://localhost/handle/Hannan/2721 |
ISBN: | 9783319698984 ; 9783319698960 (print) ; |
More Information: | XVI, 343 p. 187 illus., 149 illus. in color. ; online resource. ; |
Appears in Collections: | مهندسی فناوری اطلاعات |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
9783319698984.pdf | 25.5 MB | Adobe PDF | Preview File |
Title: | Self-organizing Coalitions for Managing Complexity |
Other Titles: | Agent-based Simulation of Evolutionary Game Theory Models using Dynamic Social Networks for Interdisciplinary Applications / |
Authors: | Burguillo, Juan C. ; |
subject: | Engineering;Computational intelligence. ;;Complexity, Computational. ;;Engineering;Complexity. ;;Computational Intelligence. ;;Operations Research/Decision Theory. ;;Applications of Graph Theory and Complex Networks. ; |
Year: | 2018 |
place: | Cham : |
Publisher: | Springer International Publishing : Imprint: Springer, |
Series/Report no.: | Emergence, Complexity and Computation, ; 2194-7287 ; ; 29. ; Emergence, Complexity and Computation, ; 2194-7287 ; ; 29. ; |
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. ; |
Description: | SpringerLink (Online service) ; Printed edition: ; 9783319698960. ; |
URI: | http://localhost/handle/Hannan/2721 |
ISBN: | 9783319698984 ; 9783319698960 (print) ; |
More Information: | XVI, 343 p. 187 illus., 149 illus. in color. ; online resource. ; |
Appears in Collections: | مهندسی فناوری اطلاعات |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
9783319698984.pdf | 25.5 MB | Adobe PDF | Preview File |