A thorough look at how societies can use cultural algorithms to understand human social evolution For those working in computationalintelligence, developing an understanding of how cultural algorithms and social inte...
详细信息
ISBN:
(数字)9781119403111
ISBN:
(纸本)9781119403081
A thorough look at how societies can use cultural algorithms to understand human social evolution For those working in computationalintelligence, developing an understanding of how cultural algorithms and social intelligence form the essential framework for the evolution of human social interaction is essential. This book, Cultural Algorithms: Tools to Model Complex Dynamic Social Systems , is the foundation of that study. It showcases how we can use cultural algorithms to organize social structures and develop socio-political systems that work. For such a vast topic, the text covers everything from the history of the development of cultural algorithms and the basic framework with which it was organized. Readers will also learn how other nature-inspired algorithms can be expressed and how to use social metrics to assess the performance of various algorithms. In addition to these topics, the book covers topics including: The CAT system including the Repast Simphony System and CAT Sample Runs How to problem solve using social networks in cultural algorithms with auctions Understanding Common Value Action to enhance Social Knowledge Distribution Systems Case studies on team formations An exploration of virtual worlds using cultural algorithms For industry professionals or new students, Cultural Algorithms provides an impactful and thorough look at both social intelligence and how human social evolution translates into the modern world.
AN AUTHORITATIVE GUIDE TO COMPUTER SIMULATION GROUNDED IN A MULTIDISCIPLINARY APPROACH FOR SOLVING COMPLEX PROBLEMS Simulation and computational Red Teaming for Problem Solving offers a review of computer simulation t...
详细信息
ISBN:
(数字)9781119527206;9781119527107
ISBN:
(纸本)9781119527176
AN AUTHORITATIVE GUIDE TO COMPUTER SIMULATION GROUNDED IN A MULTIDISCIPLINARY APPROACH FOR SOLVING COMPLEX PROBLEMS Simulation and computational Red Teaming for Problem Solving offers a review of computer simulation that is grounded in a multidisciplinary approach. The authors present the theoretical foundations of simulation and modeling paradigms from the perspective of an analyst. The book provides the fundamental background information needed for designing and developing consistent and useful simulations. In addition to this basic information, the authors explore several advanced topics. The books advanced topics demonstrate how modern artificial intelligence and computationalintelligence concepts and techniques can be combined with various simulation paradigms for solving complex and critical problems. Authors examine the concept of computational Red Teaming to reveal how the combined fundamentals and advanced techniques are used successfully for solving and testing complex realworld problems. This important book:
Demonstrates how computer simulation and computational Red Teaming support each other for solving complex problems
Describes the main approaches to modeling realworld phenomena and embedding these models into computer simulations
Explores how a number of advanced artificial intelligence and computationalintelligence concepts are used in conjunction with the fundamental aspects of simulation
Written for researchers and students in the computational modelling and data analysis fields, Simulation and computational Red Teaming for Problem Solving covers the foundation and the standard elements of the process of building a simulation and explores the simulation topic with a modern research approach.
An authoritative guide to computer simulation grounded in a multi-disciplinary approach for solving complex problems Simulation and computational Red Teaming for Problem Solving offers a review of computer simulation ...
详细信息
ISBN:
(数字)9781119527183
ISBN:
(纸本)9781119527176
An authoritative guide to computer simulation grounded in a multi-disciplinary approach for solving complex problems Simulation and computational Red Teaming for Problem Solving offers a review of computer simulation that is grounded in a multi-disciplinary approach. The authors present the theoretical foundations of simulation and modeling paradigms from the perspective of an analyst. The book provides the fundamental background information needed for designing and developing consistent and useful simulations. In addition to this basic information, the authors explore several advanced topics. The book’s advanced topics demonstrate how modern artificial intelligence and computationalintelligence concepts and techniques can be combined with various simulation paradigms for solving complex and critical problems. Authors examine the concept of computational Red Teaming to reveal how the combined fundamentals and advanced techniques are used successfully for solving and testing complex real-world problems. This important book: • Demonstrates how computer simulation and computational Red Teaming support each other for solving complex problems • Describes the main approaches to modeling real-world phenomena and embedding these models into computer simulations • Explores how a number of advanced artificial intelligence and computationalintelligence concepts are used in conjunction with the fundamental aspects of simulation Written for researchers and students in the computational modelling and data analysis fields, Simulation and computational Red Teaming for Problem Solving covers the foundation and the standard elements of the process of building a simulation and explores the simulation topic with a modern research approach.
Provides an in-depth and even treatment of the three pillars of computationalintelligence and how they relate to one another This book covers the three fundamental topics that form the basis of computational intellig...
详细信息
ISBN:
(数字)9781119214403
ISBN:
(纸本)9781119214342
Provides an in-depth and even treatment of the three pillars of computationalintelligence and how they relate to one another This book covers the three fundamental topics that form the basis of computationalintelligence: neural networks, fuzzy systems, and evolutionary computation. The text focuses on inspiration, design, theory, and practical aspects of implementing procedures to solve real-world problems. While other books in the three fields that comprise computationalintelligence are written by specialists in one discipline, this book is co-written by current former Editor-in-Chief of ieee Transactions on Neural Networks and Learning Systems, a former Editor-in-Chief of ieee Transactions on Fuzzy Systems, and the founding Editor-in-Chief of ieee Transactions on Evolutionary Computation. The coverage across the three topics is both uniform and consistent in style and notation. Discusses single-layer and multilayer neural networks, radial-basis function networks, and recurrent neural networks Covers fuzzy set theory, fuzzy relations, fuzzy logic interference, fuzzy clustering and classification, fuzzy measures and fuzzy integrals Examines evolutionary optimization, evolutionary learning and problem solving, and collective intelligence Includes end-of-chapter practice problems that will help readers apply methods and techniques to real-world problems Fundamentals of computationalintelligence is written for advanced undergraduates, graduate students, and practitioners in electrical and computer engineering, computer science, and other engineering disciplines.
Provides an in-depth and even treatment of the three pillars of computationalintelligence and how they relate to one another This book covers the three fundamental topics that form the basis of computational intellig...
详细信息
ISBN:
(数字)9781119214359
ISBN:
(纸本)9781119214403
Provides an in-depth and even treatment of the three pillars of computationalintelligence and how they relate to one another This book covers the three fundamental topics that form the basis of computationalintelligence: neural networks, fuzzy systems, and evolutionary computation. The text focuses on inspiration, design, theory, and practical aspects of implementing procedures to solve real-world problems. While other books in the three fields that comprise computationalintelligence are written by specialists in one discipline, this book is co-written by current former Editor-in-Chief of ieee Transactions on Neural Networks and Learning Systems, a former Editor-in-Chief of ieee Transactions on Fuzzy Systems, and the founding Editor-in-Chief of ieee Transactions on Evolutionary Computation. The coverage across the three topics is both uniform and consistent in style and notation. Discusses single-layer and multilayer neural networks, radial-basis function networks, and recurrent neural networks Covers fuzzy set theory, fuzzy relations, fuzzy logic interference, fuzzy clustering and classification, fuzzy measures and fuzzy integrals Examines evolutionary optimization, evolutionary learning and problem solving, and collective intelligence Includes end-of-chapter practice problems that will help readers apply methods and techniques to real-world problems Fundamentals of computationalintelligence is written for advanced undergraduates, graduate students, and practitioners in electrical and computer engineering, computer science, and other engineering disciplines.
An introductory book that provides theoretical, practical, and application coverage of the emerging field of type-2 fuzzy logic control Until recently, little was known about type-2 fuzzy controllers due to the lack o...
详细信息
ISBN:
(数字)9781118901472
ISBN:
(纸本)9781118278390
An introductory book that provides theoretical, practical, and application coverage of the emerging field of type-2 fuzzy logic control Until recently, little was known about type-2 fuzzy controllers due to the lack of basic calculation methods available for type-2 fuzzy sets and logic--and many different aspects of type-2 fuzzy control still needed to be investigated in order to advance this new and powerful technology. This self-contained reference covers everything readers need to know about the growing field. Written with an educational focus in mind, Introduction to Type-2 Fuzzy Logic Control: Theory and Applications uses a coherent structure and uniform mathematical notations to link chapters that are closely related, reflecting the book's central themes: analysis and design of type-2 fuzzy control systems. The book includes worked examples, experiment and simulation results, and comprehensive reference materials. The book also offers downloadable computer programs from an associated website. Presented by world-class leaders in type-2 fuzzy logic control, Introduction to Type-2 Fuzzy Logic Control: Is useful for any technical person interested in learning type-2 fuzzy control theory and its applications Offers experiment and simulation results via downloadable computer programs Features type-2 fuzzy logic background chapters to make the book self-contained Provides an extensive literature survey on both fuzzy logic and related type-2 fuzzy control Introduction to Type-2 Fuzzy Logic Control is an easy-to-read reference book suitable for engineers, researchers, and graduate students who want to gain deep insight into type-2 fuzzy logic control.
暂无评论