Naturally Intelligent Systems
Author: Maureen Caudill
Publisher: MIT Press
Published: 1990
Total Pages: 324
ISBN-13: 9780262531139
DOWNLOAD EBOOKNaturally Intelligent Systems offers a comprehensive introduction to neural networks.
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Adaptation in Natural and Artificial Systems
Author: John H. Holland
Publisher: MIT Press
Published: 1992-04-29
Total Pages: 236
ISBN-13: 9780262581110
DOWNLOAD EBOOKGenetic algorithms are playing an increasingly important role in studies of complex adaptive systems, ranging from adaptive agents in economic theory to the use of machine learning techniques in the design of complex devices such as aircraft turbines and integrated circuits. Adaptation in Natural and Artificial Systems is the book that initiated this field of study, presenting the theoretical foundations and exploring applications. In its most familiar form, adaptation is a biological process, whereby organisms evolve by rearranging genetic material to survive in environments confronting them. In this now classic work, Holland presents a mathematical model that allows for the nonlinearity of such complex interactions. He demonstrates the model's universality by applying it to economics, physiological psychology, game theory, and artificial intelligence and then outlines the way in which this approach modifies the traditional views of mathematical genetics. Initially applying his concepts to simply defined artificial systems with limited numbers of parameters, Holland goes on to explore their use in the study of a wide range of complex, naturally occuring processes, concentrating on systems having multiple factors that interact in nonlinear ways. Along the way he accounts for major effects of coadaptation and coevolution: the emergence of building blocks, or schemata, that are recombined and passed on to succeeding generations to provide, innovations and improvements.
Intelligent Systems
Author: Robert J. Schalkoff
Publisher: Jones & Bartlett Learning
Published: 2011-08-24
Total Pages: 787
ISBN-13: 0763780170
DOWNLOAD EBOOKArtificial Intelligence has changed significantly in recent years and many new resources and approaches are now available to explore and implement this important technology. Intelligent Systems: Principles, Paradigms, and Pragmatics takes a modern, 21st-century approach to the concepts of Artificial Intelligence and includes the latest developments, developmental tools, programming, and approaches related to AI. The author is careful to make the important distinction between theory and practice, and focuses on a broad core of technologies, providing students with an accessible and comprehensive introduction to key AI topics.
Understanding Intelligence
Author: Rolf Pfeifer
Publisher: MIT Press
Published: 2001-07-27
Total Pages: 724
ISBN-13: 9780262250795
DOWNLOAD EBOOKThe book includes all the background material required to understand the principles underlying intelligence, as well as enough detailed information on intelligent robotics and simulated agents so readers can begin experiments and projects on their own. By the mid-1980s researchers from artificial intelligence, computer science, brain and cognitive science, and psychology realized that the idea of computers as intelligent machines was inappropriate. The brain does not run "programs"; it does something entirely different. But what? Evolutionary theory says that the brain has evolved not to do mathematical proofs but to control our behavior, to ensure our survival. Researchers now agree that intelligence always manifests itself in behavior—thus it is behavior that we must understand. An exciting new field has grown around the study of behavior-based intelligence, also known as embodied cognitive science, "new AI," and "behavior-based AI." This book provides a systematic introduction to this new way of thinking. After discussing concepts and approaches such as subsumption architecture, Braitenberg vehicles, evolutionary robotics, artificial life, self-organization, and learning, the authors derive a set of principles and a coherent framework for the study of naturally and artificially intelligent systems, or autonomous agents. This framework is based on a synthetic methodology whose goal is understanding by designing and building. The book includes all the background material required to understand the principles underlying intelligence, as well as enough detailed information on intelligent robotics and simulated agents so readers can begin experiments and projects on their own. The reader is guided through a series of case studies that illustrate the design principles of embodied cognitive science.
Naturally Intelligent Systems
Author: Maureen Caudill
Publisher:
Published: 1992
Total Pages: 304
ISBN-13:
DOWNLOAD EBOOKIntelligent Systems
Author: Vladimir M. Koleshko
Publisher: BoD – Books on Demand
Published: 2012-03-02
Total Pages: 382
ISBN-13: 9535100548
DOWNLOAD EBOOKThis book is dedicated to intelligent systems of broad-spectrum application, such as personal and social biosafety or use of intelligent sensory micro-nanosystems such as "e-nose", "e-tongue" and "e-eye". In addition to that, effective acquiring information, knowledge management and improved knowledge transfer in any media, as well as modeling its information content using meta-and hyper heuristics and semantic reasoning all benefit from the systems covered in this book. Intelligent systems can also be applied in education and generating the intelligent distributed eLearning architecture, as well as in a large number of technical fields, such as industrial design, manufacturing and utilization, e.g., in precision agriculture, cartography, electric power distribution systems, intelligent building management systems, drilling operations etc. Furthermore, decision making using fuzzy logic models, computational recognition of comprehension uncertainty and the joint synthesis of goals and means of intelligent behavior biosystems, as well as diagnostic and human support in the healthcare environment have also been made easier.
Hybrid Intelligent System
Author: Fouad Sabry
Publisher: One Billion Knowledgeable
Published: 2023-06-24
Total Pages: 101
ISBN-13:
DOWNLOAD EBOOKWhat Is Hybrid Intelligent System A hybrid intelligent system is a software system that uses, in parallel, a combination of methods and techniques from various subfields in artificial intelligence. Some examples of these methods and techniques include:Neuro-symbolic systemsNeuro-fuzzy systemsModels that are hybrids of connectionist and symbolic logicExpert systems that are fuzzyConnectionist expert systemsNetworks of neurons that have evolved over timeSystems based on genetic fuzzy logicHybridization of rough and fuzzyLearning through reinforcement, using fuzzy, neural, or evolutionary approaches, in addition to symbolic reasoning approaches. How You Will Benefit (I) Insights, and validations about the following topics: Chapter 1: Hybrid Intelligent System Chapter 2: List of artificial intelligence projects Chapter 3: Cognitive Science Chapter 4: Connectionism Chapter 5: Symbolic Artificial Intelligence Chapter 6: Intelligent Control Chapter 7: Computational Intelligence Chapter 8: Cognitive Architecture Chapter 9: Computational Cognition Chapter 10: Connectionist Expert System (II) Answering the public top questions about hybrid intelligent system. (III) Real world examples for the usage of hybrid intelligent system in many fields. (IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of hybrid intelligent system' technologies. Who This Book Is For Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of hybrid intelligent system.
Future Directions for Intelligent Systems and Information Sciences
Author: Nikola Kasabov
Publisher: Physica
Published: 2013-11-11
Total Pages: 411
ISBN-13: 3790818569
DOWNLOAD EBOOKThis edited volume comprises invited chapters that cover five areas of the current and the future development of intelligent systems and information sciences. Half of the chapters were presented as invited talks at the Workshop "Future Directions for Intelligent Systems and Information Sciences" held in Dunedin, New Zealand, 22-23 November 1999 after the International Conference on Neuro-Information Processing (lCONIPI ANZIISI ANNES '99) held in Perth, Australia. In order to make this volume useful for researchers and academics in the broad area of information sciences I invited prominent researchers to submit materials and present their view about future paradigms, future trends and directions. Part I contains chapters on adaptive, evolving, learning systems. These are systems that learn in a life-long, on-line mode and in a changing environment. The first chapter, written by the editor, presents briefly the paradigm of Evolving Connectionist Systems (ECOS) and some of their applications. The chapter by Sung-Bae Cho presents the paradigms of artificial life and evolutionary programming in the context of several applications (mobile robots, adaptive agents of the WWW). The following three chapters written by R.Duro, J.Santos and J.A.Becerra (chapter 3), GCoghill . (chapter 4), Y.Maeda (chapter 5) introduce new techniques for building adaptive, learning robots.
Solving Problems in Environmental Engineering and Geosciences with Artificial Neural Networks
Author: Farid U. Dowla
Publisher: MIT Press
Published: 1995
Total Pages: 258
ISBN-13: 9780262041485
DOWNLOAD EBOOKThis book, complete with exercises and ANN algorithms, illustrates how ANNs can be used in solving problems in environmental engineering and the geosciences, and provides the necessary tools to get started using these elegant and efficient new techniques.
Intelligent Systems and Computer Technology
Author: D.J. Hemanth
Publisher: IOS Press
Published: 2020-12-15
Total Pages: 672
ISBN-13: 1643681036
DOWNLOAD EBOOKRecent developments in soft-computation techniques have paved the way for handling huge volumes of data, thereby bringing about significant changes and technological advancements. This book presents the proceedings of the 3rd International Conference on Emerging Current Trends in Computing & Expert Technology (COMET 2020), held at Panimalar Engineering College, Chennai, India on 6 and 7 March 2020. The aim of the book is to disseminate cutting-edge developments taking place in the technological fields of intelligent systems and computer technology, thereby assisting researchers and practitioners from both institutions and industry to upgrade their knowledge of the latest developments and emerging areas of study. It focuses on technological innovations and trendsetting initiatives to improve business values, optimize business processes and enable inclusive growth for corporates, industries and education alike. The book is divided into two sections; ‘Next Generation Soft Computing’ is a platform for scientists, researchers, practitioners and academics to present and discuss their most recent innovations, trends and concerns, as well as the practical challenges encountered in the field. The second section, ‘Evolutionary Networking and Communications’ focuses on various aspects of 5G communications systems and networking, including cloud and virtualization solutions, management technologies, and vertical application areas. It brings together the latest technologies from all over the world, and also provides an excellent international forum for the sharing of knowledge and results from theory, methodology and applications in networking and communications. The book will be of interest to all those working in the fields of intelligent systems and computer technology.
