Elsevier S & T

Artificial Intelligence

Boden, Margaret A.

In stock
No reviews
61.000 KD inc. VAT
License
Table of contents
  • Contentsv
  • Contributorsxi
  • Forewordxiii
  • Prefacexv
  • Chapter 1. Philosophical Foundations1
  • I. An Evolving Engagement1
  • II. Symbol-System AI3
  • III. Connectionism7
  • IV. Artificial Life14
  • V. The Wasteland19
  • References20
  • Chapter 2. Planning and Problem Solving23
  • I. Some Basic Ideas24
  • II. The General Problem Solver28
  • III. STRIPS33
  • IV. Handling Interference36
  • V. Nonlinear Planning38
  • VI. More Sophisticated Planning43
  • VII. Planning and Cognitive Science48
  • References53
  • Chapter 3. Representation of Knowledge55
  • I. Representation and Knowledge55
  • II. Classical Approaches68
  • References85
  • Chapter 4. Machine Learning89
  • I. Introduction89
  • II. Knowledge-Free Inductive Learning Systems93
  • III. Learning in Situated Agents110
  • IV. Theoretical Models of Learning118
  • V. Learning from Single Examples123
  • VI. Forming New Concepts127
  • VII. Summary129
  • References130
  • Chapter 5. Connectionism and Neural Networks135
  • I. Introduction135
  • II. Understanding and Modeling Cognition and Perception135
  • III. Reference Sources137
  • IV. Biological Origins137
  • V. Early Developments: Logical Models140
  • VI. Adaptive Networks141
  • VII. The Dartmouth Conference141
  • VIII. Perceptrons142
  • IX. Adalines and the LMS Algorithm145
  • X. Minsky and Papert’s Perceptrons145
  • XI. Back Propagation146
  • XII. NETtalk150
  • XIII. The Future152
  • References154
  • Chapter 6. Expert Systems and Theories of Knowledge157
  • I. Introduction157
  • II. Knowledge Engineering-The First Decade158
  • III. Second-Generation Expert Systems„From Decision Making to Expertise165
  • IV. The Third Decade„Systematic Engineering of Knowledge173
  • V. Conclusions180
  • References180
  • Chapter 7. Machine Vision183
  • I. Introduction183
  • II. Image Formation187
  • III. Feature Detection191
  • IV. Building Descriptions Using General Properties of Objects195
  • V. Using Object Models210
  • VI. Conclusion224
  • References225
  • Chapter 8. Natural Language Processing229
  • I. Introduction229
  • II. Computational Theories of Processing232
  • III. Conclusion262
  • IV. Further Reading263
  • References264
  • Chapter 9. Creativity267
  • I. The Definition of Creativity267
  • II. Impossibilist Creativity269
  • III. Improbabilist Creativity272
  • IV. AI Models of the Arts277
  • V. AI Models of Science282
  • VI. Self-Transforming Programs285
  • VII. Conclusion289
  • References289
  • Chapter 10. Human–Computer Interaction293
  • I. Interacting with Computers293
  • II. The Psychology of Computer Use301
  • III. Modeling Human-Computer Interaction307
  • IV. System Development311
  • V. Evaluation315
  • VI. Beyond Human–Computer Interaction318
  • References322
  • Chapter 11. Artificial Life and the Animat Approach to Artificial Intelligence325
  • I. What Is Artificial Life?325
  • II. The Animat Approach to AI326
  • III. What Is Adaptive Behavior?329
  • IV. Preprogrammed Behaviors330
  • V. Learned Behaviors334
  • VI. Evolved Behaviors342
  • VII. Conclusion350
  • References351
  • Index355
Book details
  • Vendor Elsevier S & T
  • SKU 9780121619640
  • ISBN-13 9780080527598
  • Author Boden, Margaret A.
  • Edition 2nd
  • Category Psychology
  • Subject Cognitive Psychology

Do you have questions about this book?

Ask an expert!

Description eBook delivery & access Reviews
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-computer interaction. This volume is suitable for any psychologist, philosopher, or computer scientist wanting to know the current state of the art in this area of cognitive science.

Key Features
* Up-to-date account of how computational ideas and techniques are relevant to psychology
* Includes discussions of "classical" (symbolic) AI, of connectionism (neural nets), of evolutionary programming, and of A-Life
* Discusses a wide range of psychology from low-level vision to creativity