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Advanced Series on Artificial Intelligence - Vol. 1
ARTIFICIAL INTELLIGENCE METHODS AND APPLICATIONS
edited by N G Bourbakis (State University of New York, Binghamton)
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.
Contents:
- Introduction to Advanced Series on Artificial Intelligence
(N G Bourbakis)
- Fundamental Methods for Horn Logic and Artificial Intelligence Applications (E Kounalis & P Marquis)
- Applications of Genetic Algorithms to Permutation Problems (F E Petry & B P Buckles)
- Extracting Procedural Knowledge from Software Systems Using Inductive Learning in the PM System (R G Reynolds et al.)
- Resource-Oriented Parallel Planning (S Lee & K Chung)
- Advanced Parsing Technology for Knowledge-Based Shells (J R Kipps)
- The Analysis and Synthesis of Intelligent Systems (W Arden)
- Document Image Analysis and Recognition (S N Srihari et al.)
- Signal Understanding: An Artificial Intelligence Approach to Modulation Classification (J E Whelchel et al.)
- and other papers
Readership: Computer scientists, researchers and professionals in
artificial intelligence.
| 732pp |
Pub. date: Dec 1992 |
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