Behavior and Evolutionary Dynamics in Crowd Networks: An Evolutionary Game Approach, Chen Yan, Zhao H. Vicky

Автор: Raczynski Stanislaw
Название: Interacting Complexities of Herds and Social Organizations: Agent Based Modeling
ISBN: 9811393362 ISBN-13(EAN): 9789811393365
Издательство: Springer
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Цена: 53100.00 T
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Описание: This book presents examples of and the latest simulation studies on artificial societies and populations, highlighting innovative implementations of various models of artificial societies and populations using a new, C++-related simulation tool. It demonstrates that the prey-predator models—including spatial distribution, moving patterns, limited renewable food, fear, gregarious (herd) instinct, clustering, epidemics, and competition—are more complex than other publications have suggested, and highlights the great discrepancy between agent-based and conventional continuous models. The book also discusses the modeling and simulation of self-organization and interactions between organizations, including terror organizations, offering fascinating insights into organizational dynamics.The book provides a broad range of examples and comparisons with the classical dynamics approach, showing readers how to construct models of complex systems. It starts with descriptions of the behavior of interacting individuals and also includes important information on the macro-behavior of the whole system.

Автор: Chen Yan, Zhao H. Vicky
Название: Behavior and Evolutionary Dynamics in Crowd Networks: An Evolutionary Game Approach
ISBN: 9811571597 ISBN-13(EAN): 9789811571596
Издательство: Springer
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Цена: 139750.00 T
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Описание: Introduction.- Evolutionary Dynamics with Rational Users.- "Irrational" Behavior Analysis.- "Smart" Evolution with Indirect Reciprocity.- User Heterogeneity.- Evolution of Correlated Events.- Concluding Remarks.

Автор: Patricia Melin; Oscar Castillo
Название: Hybrid Intelligent Systems for Pattern Recognition Using Soft Computing
ISBN: 364206325X ISBN-13(EAN): 9783642063251
Издательство: Springer
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Цена: 139750.00 T
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Описание: This monograph describes new methods for intelligent pattern recognition using soft computing techniques including neural networks, fuzzy logic, and genetic algorithms.

Автор: William M. Spears
Название: Evolutionary Algorithms
ISBN: 3642086241 ISBN-13(EAN): 9783642086243
Издательство: Springer
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Цена: 130430.00 T
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Описание: Despite decades of work in evolutionary algorithms, there remains an uncertainty as to the relative benefits and detriments of using recombination or mutation. It integrates important prior work and introduces new theoretical techniques for studying evolutionary algorithms.

Автор: Erik Cuevas; Daniel Zald?var; Marco Perez-Cisneros
Название: Applications of Evolutionary Computation in Image Processing and Pattern Recognition
ISBN: 3319264605 ISBN-13(EAN): 9783319264608
Издательство: Springer
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Цена: 130610.00 T
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Описание: This book presents the use of efficientEvolutionary Computation (EC) algorithms for solving diverse real-world imageprocessing and pattern recognition problems.

Автор: L Padma Suresh; Subhransu Sekhar Dash; Bijaya Keta
Название: Artificial Intelligence and Evolutionary Algorithms in Engineering Systems
ISBN: 8132221346 ISBN-13(EAN): 9788132221340
Издательство: Springer
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Цена: 214280.00 T
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Описание: The book is a collection of high-quality peer-reviewed research papers presented in Proceedings of International Conference on Artificial Intelligence and Evolutionary Algorithms in Engineering Systems (ICAEES 2014) held at Noorul Islam Centre for Higher Education, Kumaracoil, India.

Автор: L. Padma Suresh; Subhransu Sekhar Dash; Bijaya Ket
Название: Artificial Intelligence and Evolutionary Algorithms in Engineering Systems
ISBN: 8132221257 ISBN-13(EAN): 9788132221258
Издательство: Springer
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Цена: 214280.00 T
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Описание: The book is a collection of high-quality peer-reviewed research papers presented in Proceedings of International Conference on Artificial Intelligence and Evolutionary Algorithms in Engineering Systems (ICAEES 2014) held at Noorul Islam Centre for Higher Education, Kumaracoil, India.

Автор: Stefano Cagnoni
Название: Evolutionary Image Analysis and Signal Processing
ISBN: 3642101852 ISBN-13(EAN): 9783642101854
Издательство: Springer
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Цена: 130590.00 T
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Описание: This book is mostly papers selected from EvoIASP 2007, an event dedicated to evolutionary image analysis and signal processing. It covers the latest on evolutionary computation techniques in computer vision, pattern recognition, image and signal processing.

Автор: Stefano Cagnoni
Название: Evolutionary Image Analysis and Signal Processing
ISBN: 3642016359 ISBN-13(EAN): 9783642016356
Издательство: Springer
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Цена: 156720.00 T
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Описание: Offers readers a view of what can be achieved using Evolutionary Computation techniques in computer vision, pattern recognition, and image and signal processing. This book consists of extended versions of a selection of papers which were presented at editions of "EvoIASP".

Автор: Erik Cuevas; Daniel Zald?var; Marco Perez-Cisneros
Название: Applications of Evolutionary Computation in Image Processing and Pattern Recognition
ISBN: 3319370995 ISBN-13(EAN): 9783319370996
Издательство: Springer
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Цена: 113180.00 T
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Описание: This book presents the use of efficientEvolutionary Computation (EC) algorithms for solving diverse real-world imageprocessing and pattern recognition problems.

Автор: Lull, James
Название: Evolutionary communication
ISBN: 1138312258 ISBN-13(EAN): 9781138312258
Издательство: Taylor&Francis
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Цена: 40820.00 T
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Описание: This book presents the first comprehensive evolutionary approach to the study of human communication.

Автор: Jeng-Shyang Pan; Jerry Chun-Wei Lin; Bixia Sui; Sh
Название: Genetic and Evolutionary Computing
ISBN: 9811358400 ISBN-13(EAN): 9789811358401
Издательство: Springer
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Цена: 139750.00 T
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Описание: This volume of Advances in Intelligent Systems and Computing highlights papers presented at the 12th International Conference on Genetic and Evolutionary Computing (ICGEC 2018). Held from 14 to 17 December 2018 in Changzhou, Jiangsu, China, the conference was co-sponsored by Springer, Changzhou College of Information Technology, Fujian Provincial Key Lab of Big Data Mining and Applications, Fujian University of Technology, National Demonstration Center for Experimental Electronic Information and Electrical Technology Education, Fujian University of Technology, Tajen University, National University of Kaohsiung, and Shandong University of Science and Technology, China. The conference is intended as an international forum for the researchers and professionals in all areas of genetic and evolutionary computing.