The Evolution Of Intelligent Systems
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The Evolution Of Intelligent Systems
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Author : K. Richardson
language : en
Publisher: Springer
Release Date : 2010-10-20
The Evolution Of Intelligent Systems written by K. Richardson and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-10-20 with Social Science categories.
How could something as seemingly transcendental as the human mind have arisen from far simpler material beginnings? This book provides a comprehensive overview of evolution from pre-life and early life forms through increasing complexity to advanced cognitive systems using a new framework based on dynamic systems theory.
Intelligent Systems
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Author : Crina Grosan
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-07-29
Intelligent Systems written by Crina Grosan and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-07-29 with Technology & Engineering categories.
Computational intelligence is a well-established paradigm, where new theories with a sound biological understanding have been evolving. The current experimental systems have many of the characteristics of biological computers (brains in other words) and are beginning to be built to perform a variety of tasks that are difficult or impossible to do with conventional computers. As evident, the ultimate achievement in this field would be to mimic or exceed human cognitive capabilities including reasoning, recognition, creativity, emotions, understanding, learning and so on. This book comprising of 17 chapters offers a step-by-step introduction (in a chronological order) to the various modern computational intelligence tools used in practical problem solving. Staring with different search techniques including informed and uninformed search, heuristic search, minmax, alpha-beta pruning methods, evolutionary algorithms and swarm intelligent techniques; the authors illustrate the design of knowledge-based systems and advanced expert systems, which incorporate uncertainty and fuzziness. Machine learning algorithms including decision trees and artificial neural networks are presented and finally the fundamentals of hybrid intelligent systems are also depicted. Academics, scientists as well as engineers engaged in research, development and application of computational intelligence techniques, machine learning and data mining would find the comprehensive coverage of this book invaluable.
Engineering Evolutionary Intelligent Systems
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Author : Ajith Abraham
language : en
Publisher: Springer
Release Date : 2008-01-03
Engineering Evolutionary Intelligent Systems written by Ajith Abraham and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-01-03 with Computers categories.
This edited volume deals with the theoretical and methodological aspects, as well as various evolutionary algorithm applications to many real world problems originating from science, technology, business and commerce. It comprises 15 chapters including an introductory chapter which covers the fundamental definitions and outlines some important research challenges. Chapters were selected on the basis of fundamental ideas/concepts rather than the thoroughness of techniques deployed.
Artificial Intelligence
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Author : Michael Negnevitsky
language : en
Publisher: Pearson Education
Release Date : 2005
Artificial Intelligence written by Michael Negnevitsky and has been published by Pearson Education this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with Computers categories.
Keeping the maths to a minimum, Negnevitsky explains the principles of AI, demonstrates how systems are built, what they are useful for and how to choose the right tool for the job.
Evolutionary Computation With Intelligent Systems
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Author : R.S. Chauhan
language : en
Publisher: CRC Press
Release Date : 2022-03-29
Evolutionary Computation With Intelligent Systems written by R.S. Chauhan and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-03-29 with Technology & Engineering categories.
This book focuses on cutting-edge innovations and core theories, principles, and algorithms applicable to a wide area. Real-life applications, case studies, and examples are included along with emerging trends, design, and optimized solutions pivoting around the needs of Society 5.0. Evolutionary Computation with Intelligent Systems: A Multidisciplinary Approach to Society 5.0 provides a holistic view of evolutionary computation techniques including principles, procedures, and future applications with real-life examples. The book comprehensively explains evolutionary computation, design, principles, development trends, and optimization and describes how it can transform the operating context of the organization. It exemplifies the potential of evolutionary computation for the next generation and the role of cloud computing in shaping Society 5.0. It also provides insight into various platforms, paradigms, techniques, and tools used in diverse fields. This book appeals to a variety of readers such as academicians, researchers, research scholars, and postgraduates.
Evolutionary Algorithms In Intelligent Systems
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Author : Alfredo Milani
language : en
Publisher: MDPI
Release Date : 2020-12-07
Evolutionary Algorithms In Intelligent Systems written by Alfredo Milani and has been published by MDPI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-07 with Technology & Engineering categories.
Evolutionary algorithms and metaheuristics are widely used to provide efficient and effective approximate solutions to computationally hard optimization problems. With the widespread use of intelligent systems in recent years, evolutionary algorithms have been applied, beyond classical optimization problems, to AI system parameter optimization and the design of artificial neural networks and feature selection in machine learning systems. This volume will present recent results of applications of the most successful metaheuristics, from differential evolution and particle swarm optimization to artificial neural networks, loT allocation, and multi-objective optimization problems. It will also provide a broad view of the role and the potential of evolutionary algorithms as service components in Al systems.
Intelligent And Evolutionary Systems
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Author : George Leu
language : en
Publisher: Springer
Release Date : 2016-11-08
Intelligent And Evolutionary Systems written by George Leu and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-11-08 with Technology & Engineering categories.
Over the last two decades the field of Intelligent Systems delivered to human kind significant achievements, while also facing major transformations. 20 years ago, automation and knowledge-based AI were still the dominant paradigms fueling the efforts of both researchers and practitioners. Later, 10 years ago, statistical machine intelligence was on the rise, heavily supported by the digital computing, and led to the unprecedented advances in and dependence on digital technology. However, the resultant intelligent systems remained designer-based endeavors and thus, were limited in their true learning and development abilities. Today, the challenge is to have in place intelligent systems that can develop themselves on behalf of their creators, and gain abilities with no or limited supervision in the tasks they are meant to perform. Cognitive development systems, and the supporting cognitive computing are on the rise today, promising yet other significant achievements for the future of human kind. This book captures this unprecedented evolution of the field of intelligent systems, presenting a compilation of studies that covers all research directions in the field over the last two decades, offering to the reader a broad view over the field, while providing a solid foundation from which outstanding new ideas may emerge.
Proceedings Of The 23rd Asia Pacific Symposium On Intelligent And Evolutionary Systems
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Author : Hiroshi Sato
language : en
Publisher: Springer Nature
Release Date : 2019-12-04
Proceedings Of The 23rd Asia Pacific Symposium On Intelligent And Evolutionary Systems written by Hiroshi Sato and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-12-04 with Technology & Engineering categories.
This book presents selected papers from the 23rd Asia Pacific Symposium on Intelligent and Evolutionary Systems (IES 2019), which was held in Tottori, Japan, on December 6–8, 2019. Today, various types of intelligent system can be found everywhere. However, none of them can be developed or understood from only one perspective. As such, this book collects unique ways of thinking about intelligent systems. It discusses evolutionary and complex adaptive systems, which have been useful approaches for tackling intelligent systems. It also examines the recent developments in the field of artificial intelligence that are driving research on intelligent systems. Addressing topics related to intelligent transport systems, machine learning and neural networks, data science and decision analytics, evolutionary and nature-inspired computation, and agents and complex systems, this book is a valuable resource for researchers and practitioners wanting to develop or understand intelligent and evolutionary systems.
Beyond Information
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Author : Tom Stonier
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Beyond Information written by Tom Stonier and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Computers categories.
Preamble The emergence of machine intelligence during the second half of the twentieth century is the most important development in the evolution of this planet since the origin of life two to three thousand million years ago. The emergence of machine intelligence within the matrix of human society is analogous to the emergence, three billion years ago, of complex, self-replicating molecules within the matrix of an energy-rich molecular soup - the first step in the evolution of life. The emergence of machine intelligence within a human social context has set into motion irreversible processes which will lead to an evolutionary discontinuity. Just as the emergence of "Life" represented a qualitatively different form of organisation of matter and energy, so will pure "Intelligence" represent a qualitatively different form of organisation of matter, energy and life. The emergence of machine intelligence presages the progression of the human species as we know it, into a form which, at present, we would not recognise as "human". As Forsyth and Naylor (1985) have pointed out: "Humanity has opened two Pandora's boxes at the same time, one labelled genetic engineering, the other labelled knowledge engineering. What we have let out is not entirely clear, but it is reasonable to hazard a guess that it contains the seeds of our successors".
Research And Development In Intelligent Systems Xxxii
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Author : Max Bramer
language : en
Publisher: Springer
Release Date : 2015-11-16
Research And Development In Intelligent Systems Xxxii written by Max Bramer and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-11-16 with Computers categories.
The papers in this volume are the refereed papers presented at AI-2015, the Thirty-fifth SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, held in Cambridge in December 2015 in both the technical and the application streams. They present new and innovative developments and applications, divided into technical stream sections on Knowledge Discovery and Data Mining, Machine Learning and Knowledge Acquisition, and AI in Action, followed by application stream sections on Applications of Genetic Algorithms, Applications of Intelligent Agents and Evolutionary Techniques, and AI Applications. The volume also includes the text of short papers presented as posters at the conference. This is the thirty-second volume in the Research and Development in Intelligent Systems series, which also incorporates the twenty-third volume in the Applications and Innovations in Intelligent Systems series. These series are essential reading for those who wish to keep up to date with developments in this important field.