The Evolution Of Intelligent Systems

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Intelligent Systems

Crina Grosan,Ajith Abraham
Intelligent Systems Book PDF

Author : Crina Grosan,Ajith Abraham
Publisher : Springer Science & Business Media
Page : 456 pages
File Size : 45,6 Mb
Release : 2011-07-29
Category : Technology & Engineering
ISBN : 9783642210044

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Intelligent Systems by Crina Grosan,Ajith Abraham Pdf

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.

The Evolution of Intelligent Systems

K. Richardson
The Evolution of Intelligent Systems Book PDF

Author : K. Richardson
Publisher : Springer
Page : 234 pages
File Size : 55,6 Mb
Release : 2010-10-20
Category : Social Science
ISBN : 9780230299245

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The Evolution of Intelligent Systems by K. Richardson Pdf

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.

Artificial Intelligence

Michael Negnevitsky
Artificial Intelligence Book PDF

Author : Michael Negnevitsky
Publisher : Pearson Education
Page : 454 pages
File Size : 54,8 Mb
Release : 2005
Category : Computers
ISBN : 0321204662

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Artificial Intelligence by Michael Negnevitsky Pdf

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.

Intelligence Through Simulated Evolution

Lawrence J. Fogel
Intelligence Through Simulated Evolution Book PDF

Author : Lawrence J. Fogel
Publisher : Wiley-Interscience
Page : 184 pages
File Size : 53,9 Mb
Release : 1999
Category : Computers
ISBN : UOM:39015047493559

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Intelligence Through Simulated Evolution by Lawrence J. Fogel Pdf

A unique, one-stop reference to the history, technology, and application of evolutionary programming Evolutionary programming has come a long way since Lawrence Fogel first proposed in 1961 that intelligence could be modeled on the natural process of evolution. Efforts to apply this innovative approach to artificial intelligence have also evolved over the years, and the advent of fast desktop computers capable of solving complex computational problems has spawned an explosion of interest in the field. Offering the unique perspective of one of the inventors of evolutionary programming, this remarkable work traces forty years of developments in the field. Dr. Fogel consolidates a wealth of information and hard-to-find figures from across the literature, providing comprehensive coverage of the evolutionary programming approach to simulated evolution. This includes both an updated, condensed version of his bestselling 1966 work, Artificial Intelligence Through Simulated Evolution (with Owens and Walsh), and a thorough discussion of the history, technology, and methods of machine learning from 1970 to the present. This important resource features clear, up-to-date explanations of how the simulation of evolutionary processes allows machines to learn to solve new problems in new ways. And it helps readers make the leap to generating intelligent systems-extending the discussion to neural networks, fuzzy logic, and genetic algorithms development. Engineers and computer scientists in all areas of machine learning will gain invaluable insight into existing and emerging applications and obtain ample ideas to draw upon in future research.

Evolutionary Algorithms in Intelligent Systems

Alfredo Milani,Arturo Carpi,Valentina Poggioni
Evolutionary Algorithms in Intelligent Systems Book PDF

Author : Alfredo Milani,Arturo Carpi,Valentina Poggioni
Publisher : MDPI
Page : 144 pages
File Size : 46,7 Mb
Release : 2020-12-07
Category : Technology & Engineering
ISBN : 9783039436118

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Evolutionary Algorithms in Intelligent Systems by Alfredo Milani,Arturo Carpi,Valentina Poggioni Pdf

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.

Engineering Evolutionary Intelligent Systems

Ajith Abraham,Crina Grosan,Witold Pedrycz
Engineering Evolutionary Intelligent Systems Book PDF

Author : Ajith Abraham,Crina Grosan,Witold Pedrycz
Publisher : Springer
Page : 444 pages
File Size : 48,8 Mb
Release : 2008-01-03
Category : Computers
ISBN : 9783540753964

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Engineering Evolutionary Intelligent Systems by Ajith Abraham,Crina Grosan,Witold Pedrycz Pdf

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.

Evolutionary Computation with Intelligent Systems

R.S. Chauhan,Kavita Taneja,Rajiv Khanduja,Vishal Kamra,Rahul Rattan
Evolutionary Computation with Intelligent Systems Book PDF

Author : R.S. Chauhan,Kavita Taneja,Rajiv Khanduja,Vishal Kamra,Rahul Rattan
Publisher : CRC Press
Page : 316 pages
File Size : 43,6 Mb
Release : 2022-03-29
Category : Technology & Engineering
ISBN : 9781000550542

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Evolutionary Computation with Intelligent Systems by R.S. Chauhan,Kavita Taneja,Rajiv Khanduja,Vishal Kamra,Rahul Rattan Pdf

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.

Research and Development in Intelligent Systems XXXII

Max Bramer,Miltos Petridis
Research and Development in Intelligent Systems XXXII Book PDF

Author : Max Bramer,Miltos Petridis
Publisher : Springer
Page : 410 pages
File Size : 41,6 Mb
Release : 2015-11-16
Category : Computers
ISBN : 9783319250328

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Research and Development in Intelligent Systems XXXII by Max Bramer,Miltos Petridis Pdf

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.

Proceedings of the 23rd Asia Pacific Symposium on Intelligent and Evolutionary Systems

Hiroshi Sato,Saori Iwanaga,Akira Ishii
Proceedings of the 23rd Asia Pacific Symposium on Intelligent and Evolutionary Systems Book PDF

Author : Hiroshi Sato,Saori Iwanaga,Akira Ishii
Publisher : Springer Nature
Page : 296 pages
File Size : 47,6 Mb
Release : 2019-12-04
Category : Technology & Engineering
ISBN : 9783030374426

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Proceedings of the 23rd Asia Pacific Symposium on Intelligent and Evolutionary Systems by Hiroshi Sato,Saori Iwanaga,Akira Ishii Pdf

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.

Artificial Intelligence Trends in Intelligent Systems

Radek Silhavy,Roman Senkerik,Zuzana Kominkova Oplatkova,Zdenka Prokopova,Petr Silhavy
Artificial Intelligence Trends in Intelligent Systems Book PDF

Author : Radek Silhavy,Roman Senkerik,Zuzana Kominkova Oplatkova,Zdenka Prokopova,Petr Silhavy
Publisher : Springer
Page : 550 pages
File Size : 44,7 Mb
Release : 2017-04-06
Category : Technology & Engineering
ISBN : 9783319572611

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Artificial Intelligence Trends in Intelligent Systems by Radek Silhavy,Roman Senkerik,Zuzana Kominkova Oplatkova,Zdenka Prokopova,Petr Silhavy Pdf

This book presents new methods and approaches to real-world problems as well as exploratory research that describes novel artificial intelligence applications, including deep learning, neural networks and hybrid algorithms. This book constitutes the refereed proceedings of the Artificial Intelligence Trends in Intelligent Systems Section of the 6th Computer Science On-line Conference 2017 (CSOC 2017), held in April 2017.

Hybrid Intelligent Systems

Larry R. Medsker
Hybrid Intelligent Systems Book PDF

Author : Larry R. Medsker
Publisher : Springer Science & Business Media
Page : 302 pages
File Size : 41,9 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9781461523536

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Hybrid Intelligent Systems by Larry R. Medsker Pdf

Hybrid Intelligent Systems summarizes the strengths and weaknesses of five intelligent technologies: fuzzy logic, genetic algorithms, case-based reasoning, neural networks and expert systems, reviewing the status and significance of research into their integration. Engineering and scientific examples and case studies are used to illustrate principles and application development techniques. The reader will gain a clear idea of the current status of hybrid intelligent systems and discover how to choose and develop appropriate applications. The book is based on a thorough literature search of recent publications on research and development in hybrid intelligent systems; the resulting 50-page reference section of the book is invaluable. The book starts with a summary of the five major intelligent technologies and of the issues in and current status of research into them. Each subsequent chapter presents a detailed discussion of a different combination of intelligent technologies, along with examples and case studies. Four chapters contain detailed case studies of working hybrid systems. The book enables the reader to: Describe the important concepts, strengths and limitations of each technology; Recognize and analyze potential problems with the application of hybrid systems; Choose appropriate hybrid intelligent solutions; Understand how applications are designed with any of the approaches covered; Choose appropriate commercial development shells or tools. An invaluable reference source for those who wish to apply intelligent systems techniques to their own problems.

Beyond Information

Tom Stonier
Beyond Information Book PDF

Author : Tom Stonier
Publisher : Springer Science & Business Media
Page : 230 pages
File Size : 50,6 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9781447118350

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Beyond Information by Tom Stonier Pdf

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".

Artificial Intelligence

Michael Negnevitsky
Artificial Intelligence Book PDF

Author : Michael Negnevitsky
Publisher : Unknown
Page : 0 pages
File Size : 54,8 Mb
Release : 2005
Category : Electronic
ISBN : OCLC:1027152989

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Artificial Intelligence by Michael Negnevitsky Pdf

Artificial Intelligence is one of the most rapidly evolving subjects within the computing/engineering curriculum, with an emphasis on creating practical applications from hybrid techniques. Despite this, the traditional textbooks continue to expect mathematical and programming expertise beyond the scope of current undergraduates and focus on areas not relevant to many of today's courses. Negnevitsky shows students how to build intelligent systems drawing on techniques from knowledge-based systems, neural networks, fuzzy systems, evolutionary computation and now also intelligent agents. The pri.

Evolving Intelligent Systems

Plamen Angelov,Dimitar P. Filev,Nik Kasabov
Evolving Intelligent Systems Book PDF

Author : Plamen Angelov,Dimitar P. Filev,Nik Kasabov
Publisher : John Wiley & Sons
Page : 464 pages
File Size : 40,6 Mb
Release : 2010-03-25
Category : Computers
ISBN : 0470569956

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Evolving Intelligent Systems by Plamen Angelov,Dimitar P. Filev,Nik Kasabov Pdf

From theory to techniques, the first all-in-one resource for EIS There is a clear demand in advanced process industries, defense, and Internet and communication (VoIP) applications for intelligent yet adaptive/evolving systems. Evolving Intelligent Systems is the first self- contained volume that covers this newly established concept in its entirety, from a systematic methodology to case studies to industrial applications. Featuring chapters written by leading world experts, it addresses the progress, trends, and major achievements in this emerging research field, with a strong emphasis on the balance between novel theoretical results and solutions and practical real-life applications. Explains the following fundamental approaches for developing evolving intelligent systems (EIS): the Hierarchical Prioritized Structure the Participatory Learning Paradigm the Evolving Takagi-Sugeno fuzzy systems (eTS+) the evolving clustering algorithm that stems from the well-known Gustafson-Kessel offline clustering algorithm Emphasizes the importance and increased interest in online processing of data streams Outlines the general strategy of using the fuzzy dynamic clustering as a foundation for evolvable information granulation Presents a methodology for developing robust and interpretable evolving fuzzy rule-based systems Introduces an integrated approach to incremental (real-time) feature extraction and classification Proposes a study on the stability of evolving neuro-fuzzy recurrent networks Details methodologies for evolving clustering and classification Reveals different applications of EIS to address real problems in areas of: evolving inferential sensors in chemical and petrochemical industry learning and recognition in robotics Features downloadable software resources Evolving Intelligent Systems is the one-stop reference guide for both theoretical and practical issues for computer scientists, engineers, researchers, applied mathematicians, machine learning and data mining experts, graduate students, and professionals.

Creating Brain-Like Intelligence

Bernhard Sendhoff,Edgar Körner,Olaf Sporns,Helge Ritter,Kenji Doya
Creating Brain Like Intelligence Book PDF

Author : Bernhard Sendhoff,Edgar Körner,Olaf Sporns,Helge Ritter,Kenji Doya
Publisher : Springer Science & Business Media
Page : 359 pages
File Size : 55,6 Mb
Release : 2009-04-02
Category : Medical
ISBN : 9783642006159

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Creating Brain-Like Intelligence by Bernhard Sendhoff,Edgar Körner,Olaf Sporns,Helge Ritter,Kenji Doya Pdf

TheInternationalSymposiumCreatingBrain-LikeIntelligencewasheldinFeb- ary 2007 in Germany. The symposium brought together notable scientists from di?erent backgrounds and with di?erent expertise related to the emerging ?eld of brain-like intelligence. Our understanding of the principles behind brain-like intelligence is still limited. After all, we have had to acknowledge that after tremendous advances in areas like neural networks, computational and arti?cial intelligence (a ?eld that had just celebrated its 50 year anniversary) and fuzzy systems, we are still not able to mimic even the lower-level sensory capabilities of humans or animals. We asked what the biggest obstacles are and how we could gain ground toward a scienti?c understanding of the autonomy, ?exibility, and robustness of intelligent biological systems as they strive to survive. New principles are usually found at the interfaces between existing disciplines, and traditional boundaries between disciplines have to be broken down to see how complex systems become simple and how the puzzle can be assembled. During the symposium we could identify some recurring themes that p- vaded many of the talks and discussions. The triad of structure, dynamics and environment,theroleoftheenvironmentasanactivepartnerinshapingsystems, adaptivity on all scales (learning, development, evolution) and the amalga- tion of an internal and external world in brain-like intelligence rate high among them. Each of us is rooted in a certain community which we have to serve with the results of our research. Looking beyond our ?elds and working at the interfaces between established areas of research requires e?ort and an active process.