Understanding Intelligence
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? Evoluti...
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| Hlavní autori: | , |
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| Médium: | E-kniha Kniha |
| Jazyk: | English |
| Vydavateľské údaje: |
Cambridge, Massachusetts
MIT Press
1999
The MIT Press A Bradford Book |
| Vydanie: | 1 |
| Predmet: | |
| ISBN: | 0262256797, 9780262256797, 026266125X, 9780262661256 |
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| Abstract | 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. |
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| AbstractList | 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. Evolutionary theory says that the brain has evolved not to do mathematical proofs but to control behaviour and ensure survival. Researchers agree that intelligence always manifests itself in behaviour - thus it is behaviour that must be understood. A new field has grown around the study of behaviour-based intelligence, also known as embodied cognitive science, "new AI" and "behaviour-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 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 text includes the background material required to understand the principles underlying intelligence, as well as information of 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. 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. 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. 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. |
| Author | Pfeifer, Rolf Scheier, Christian |
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| Copyright | 2001 Massachusetts Institute of Technology |
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| DOI | 10.7551/mitpress/6979.001.0001 |
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| Notes | Includes bibliographical references (p. [659]-675) and indexes Some printing: "First MIT Press paperback edition, 2001" |
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| Snippet | By the mid-1980s researchers from artificial intelligence, computer science, brain and cognitive science, and psychology realized that the idea of computers as... The book includes all the background material required to understand the principles underlying intelligence, as well as enough detailed information on... Evolutionary theory says that the brain has evolved not to do mathematical proofs but to control behaviour and ensure survival. Researchers agree that... |
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| SubjectTerms | Artificial intelligence Cognitive science Cognitive Sciences Computing and Processing expert systems (computer science) |
| TableOfContents | Intro -- Contents -- Preface -- I The Study of Intelligence - Foundations and Issues -- 1 The Study of Intelligence -- 2 Foundations of Classical Artificial Intelligence and Cognitive Science -- 3 The Fundamental Problems of Classical Artificial Intelligence and Cognitive Science -- II A Framework for Embodied Cognitive Science -- 4 Embodied Cognitive Science: Basic Concepts -- 5 Neural Networks for Adaptive Behavior -- III Approaches and Agent Examples -- 6 Braitenberg Vehicles -- 7 The Subsumption Architecture -- 8 Artificial Evolution and Artificial Life -- 9 Other Approaches -- IV Principles of Intelligent Systems -- 10 Design Principles of Autonomous Agents -- 11 The Principle of Parallel, Loosely Coupled Processes -- 12 The Principle of Sensory-Motor Coordination -- 13 The Principles of Cheap Design, Redundancy, and Ecological Balance -- 14 The Value Principle -- 15 Human Memory: A Case Study -- V Design and Evaluation -- 16 Agent Design Considerations -- 17 Evaluation -- VI Future Directions -- 18 Theory, Technology, and Applications -- 19 Intelligence Revisited -- Glossary -- References -- Author Index -- Subject Index |
| Title | Understanding Intelligence |
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