Artificial Intelligence Methods and Applications

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World Scientific, 1992 - Computers - 705 pages
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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

FUNDAMENTAL METHODS FOR HORN LOGIC
3
Rewriting Methods for Horn Logic
26
Applications
34
Bibliography
54
ON OPTIMIZING A SEARCH PROBLEM
63
The Satisfiability SAT Problem
69
A Universal SAT Problem Model
80
Experimental Results
88
Executing AIRelated Problems
360
Traveling Salesman Problem
367
Instruction Analysis
376
Conclusion
385
THE ANALYSIS AND SYNTHESIS OF INTELLIGENT
391
Isomorphic Generation
400
Synthesis
409
Implementation Considerations
421

APPLICATION OF GENETIC ALGORITHMS
106
Experimental Results
113
Conclusions
115
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
PATH PLANNING FOR A MULTILINKED WALKING
212
KnowledgeBased System Approach
221
ADVANCED PARSING TECHNOLOGY
235
General LR Parsing
246
The RAND Advanced Compiler Kit
256
Conclusion
266
Linguistic Components
272
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
ARTIFICIAL INTELLIGENCE LANGUAGES
431
Conventional Architectures vs Conventional HLLs and LISP
443
AI Influence on Hardware
452
Conclusion
480
PERFORMANCE ANALYSIS OF AN ASYNCHRONOUS
485
Dataflow Computing for Parallel Learning Systems
493
ARCHITECTURAL SCHEMES FOR SEMANTIC NETWORKS
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
Application to Postal Mail Sorting
595
INCREMENTAL LEARNING MECHANISMS
618
Incremental Learning using Hidden Markov Models
625
System Performance
633
The Integrated Simulation and Testing Environment
641
Development of the Knowledge Based System
647
System Implementation
656
An Example Session
665
BIBLIOGRAPHY
675
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