Artificial Intelligence Methods and Applications

Front Cover
World Scientific, 1992 - Computers - 705 pages
This volume is the first in a series which deals with the challenge of AI issues, gives updates of AI methods and applications, and promotes high quality new ideas, techniques and methodologies in AI. This volume contains articles by 38 specialists in various AI subfields covering theoretical and application issues.
 

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Contents

Rewriting Methods for Horn Logic
3
Bibliography
54
ON OPTIMIZING A SEARCH PROBLEM
63
The Satisfiability SAT Problem
69
A Universal SAT Problem Model
80
Conclusion
92
APPLICATION OF GENETIC ALGORITHMS
106
Conclusions
115
Instruction Analysis
376
Conclusion
385
THE ANALYSIS AND SYNTHESIS OF INTELLIGENT
391
Isomorphic Generation
400
Synthesis
409
Implementation Considerations
421
ARTIFICIAL INTELLIGENCE LANGUAGES
431
Conventional Architectures vs Conventional HLLs and LISP
443

A LOGICAL BASIS FOR LEARNING
123
The Basic Notions
137
Conclusion
149
Supervised Concept Learning Problems
155
Further Analysis and Comparisons
164
The Dynamic Performance Analysis Subsystem
172
RESOURCEORIENTED PARALLEL PLANNING
181
Planning Procedure
187
Communication and Interaction
200
Robot Model
213
General LR Parsing
246
The RAND Advanced Compiler
256
Conclusion
266
Representational and Computational Issues
280
Building ObjectOriented NLP Systems
286
Conclusions and Future Work
293
An Experimental SpeechtoSpeech Translation
299
Massively Parallel Implementation
328
Discussions
343
ARTIFICIAL INTELLIGENCE LANGUAGES
354
Executing AlRelated Problems
360
Traveling Salesman Problem
367
AI Influence on Hardware
452
Conclusion
480
PERFORMANCE ANALYSIS OF AN ASYNCHRONOUS
485
Dataflow Computing for Parallel Learning Systems
493
Experimental Results
498
Introduction
516
SN Architecture Evaluation Criteria
527
Conclusion
538
FeedForward Nets
546
The Hopfield Net
552
Conclusion
566
Overview of the System
573
System Implementation
580
Conclusions
587
Address Reading and Interpretation
599
INCREMENTAL LEARNING MECHANISMS
618
Incremental Learning using Hidden Markov Models
625
A KNOWLEDGE BASED ENVIRONMENT
637
An Example Session
665
BIBLIOGRAPHY
675
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