Methodologies for Intelligent Systems

1. Front Matter

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2. An architecture for pragmatic voice interactive systems

   • Alan W. Biermann, Ronnie W. Smith

   Pages 1-15

3. A logic of relative desire

   • Jon Doyle, Yoav Shoham, Michael P. Wellman

   Pages 16-31

4. Methodologies for data/knowledge/information engineering: Will the twain meet?

   • Larry Kerschberg

   Pages 32-34

5. Personal learning apprentices

   • Tom M. Mitchell

   Pages 35-37

6. The roles of artificial intelligence in information systems

   • Gio Wiederhold

   Pages 38-51

7. Integrating variables and operations into rule-based forward chaining systems

   • Christoph F. Eick

   Pages 52-61

8. The multi-player version of minimax displays game-tree pathology

   • David Mutchler

   Pages 62-71

9. Generalization handling in a dynamic case memory

   • Luigi Portinale

   Pages 72-81

10. Knowledge based semantic query optimization

    • Hichul An, Lawrence J. Henschen

    Pages 82-91

11. Combining knowledge bases consisting of first order theories

    • Chitta Baral, Sarit Kraus, Jack Minker, V. S. Subrahmanian

    Pages 92-101

12. User profiles for information retrieval

    • Sanjiv K. Bhatia, Jitender S. Deogun, Vijay V. Raghavan

    Pages 102-111

13. An approach to deriving object hierarchies from database schema and contents

    • I.-Min Amy Chen, Rei-Chi Lee

    Pages 112-121

14. Multilevel interface to a distributed database system

    • Bipin C. Desai, Li Zhang

    Pages 122-131

15. Efficient evaluation of linear recursions with function symbols in deductive databases

    • Jiawei Han, Qiang Wang

    Pages 132-141

16. Synthesizing efficient agents from partial programs

    • Jane Yung-jen Hsu

    Pages 142-151

17. Knowledge extraction from databases: Design principles of the INLEN system

    • Kenneth A. Kaufman, Ryszard S. Michalski, Larry Kerschberg

    Pages 152-161

18. Stable model semantics for probabilistic deductive databases

    • Raymond Ng, V. S. Subrahmanian

    Pages 162-171

19. Towards implementing valuation based systems with relational databases

    • S. K. M. Wong, Pawan Lingras, Y. Y. Yao

    Pages 172-182

20. On the representation of continuous causal relationships

    • Bei-Tseng B. Chu

    Pages 183-192

This volume contains the papers selected for presentation at the Sixth International Symposium on Methodol- ogies for Intelligent Systems held in Charlotte, North Carolina, in October 1991. The symposium was hosted by UNC-Charlotte and sponsored by IBM-Charlotte, ORNL/CESAR and UNC-Charlotte. The papers discuss topics in the following major areas: - Approximate reasoning, - Expert systems, - Intelligent databases, - Knowledge representation, - Learning and adaptive systems, - Logic for artificial intelligence. The goal of the symposium was to provide a platform for a useful exchange and cross-fertilization of ideas between theoreticians and practitioners in these areas.

• Expert Systems
• Expertensysteme
• Intelligent Databases
• Intelligente Systeme
• Learning and Adaptive Systems
• Lernen und anpassungsfähige Systeme
• Logik für Künstliche Intelligenz
• expert system
• genetic algorithms
• knowledge
• knowledge base
• knowledge representation
• nonmonotonic reasoning
• optimization
• pattern recognition

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