UID:
almahu_9947420899702882
Format:
1 online resource (395 p.)
Edition:
2nd ed.
ISBN:
1-281-03271-9
,
9786611032715
,
0-08-052759-0
Series Statement:
Handbook of perception and cognition
Content:
Artificial Intelligence is the study of how to build or program computers to enable them to do what minds can do. This volume discusses the ways in which computational ideas and computer modeling can aid our understanding of human and animal minds. Major theoretical approaches are outlined, as well as some promising recent developments. Fundamental philosophical questions are discussed along with topics such as: the differences between symbolic and connectionist AI, planning and problem solving, knowledge representation, learning, expert systems, vision, natural language, creativity, and human
Note:
Description based upon print version of record.
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Front Cover; Artificial Intelligence; Copyright Page; Contents; Contributors; Foreword; Preface; Chapter 1. Philosophical Foundations; I. An Evolving Engagement; II. Symbol-System AI; III. Connectionism; IV. Artificial Life; V. The Wasteland; References; Chapter 2. Planning and Problem Solving; I. Some Basic Ideas; II. The General Problem Solver; III. STRIPS; IV. Handling Interference; V. Nonlinear Planning; VI. More Sophisticated Planning; VII. Planning and Cognitive Science; References; Chapter 3. Representation of Knowledge; I. Representation and Knowledge; II. Classical Approaches
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ReferencesChapter 4. Machine Learning; I. Introduction; II. Knowledge-Free Inductive Learning Systems; III. Learning in Situated Agents; IV. Theoretical Models of Learning; V. Learning from Single Examples; VI. Forming New Concepts; VII. Summary; References; Chapter 5. Connectionism and Neural Networks; I. Introduction; II. Understanding and Modeling Cognition and Perception; III. Reference Sources; IV. Biological Origins; V. Early Developments: Logical Models; VI. Adaptive Networks; VII. The Dartmouth Conference; VIII. Perceptrons; IX. Adalines and the LMS Algorithm
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X. Minsky and Papert's PerceptronsXI. Back Propagation; XII. NETtalk; XIII. The Future; References; Chapter 6. Expert Systems and Theories of Knowledge; I. Introduction; II. Knowledge Engineering-The First Decade; III. Second-Generation Expert Systems-From Decision Making to Expertise; IV. The Third Decade-Systematic Engineering of Knowledge; V. Conclusions; References; Chapter 7. Machine Vision; I. Introduction; II. Image Formation; III. Feature Detection; IV. Building Descriptions Using General Properties of Objects; V. Using Object Models; VI. Conclusion; References
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Chapter 8. Natural Language ProcessingI. Introduction; II. Computational Theories of Processing; III. Conclusion; IV. Further Reading; References; Chapter 9. Creativity; I. The Definition of Creativity; II. Impossibilist Creativity; III. Improbabilist Creativity; IV. AI Models of the Arts; V. AI Models of Science; VI. Self-Transforming Programs; VII. Conclusion; References; Chapter 10. Human-Computer Interaction; I. Interacting with Computers; II. The Psychology of Computer Use; III. Modeling Human-Computer Interaction; IV. System Development; V. Evaluation
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VI. Beyond Human-Computer InteractionReferences; Chapter 11. Artificial Life and the Animat Approach to Artificial Intelligence; I. What Is Artificial Life?; II. The Animat Approach to AI; III. What Is Adaptive Behavior?; IV. Preprogrammed Behaviors; V. Learned Behaviors; VI. Evolved Behaviors; VII. Conclusion; References; Index
,
English
Additional Edition:
ISBN 0-12-161964-8
Language:
English
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