IPMU'92 - Advanced Methods in Artificial Intelligence

1. Front Matter

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2. Possibilistic abduction

   • Didier Dubois, Henri Prade

   Pages 1-12

3. Management of preferences in assumption-based reasoning

   • C. Cayrol, V. Royer, C. Saurel

   Pages 13-22

4. Default exclusion in a KL-ONE-like terminological component

   • P. Coupey

   Pages 23-32

5. Unifying various approaches to default logic

   • Yves Moinard

   Pages 33-42

6. Using maximum entropy in a defeasible logic with probabilistic semantics

   • James Cussens, Anthony Hunter

   Pages 43-52

7. Legality in inheritance networks

   • Nacéra Madani

   Pages 53-62

8. A note on information systems associated to termal algebras

   • Miquel Monserrat, Francesc Rosselló, Joan Torrens

   Pages 63-72

9. A backward chaining resolution process involving non-monotonic operators

   • D. Ferney, A. Quilliot

   Pages 73-82

10. On fuzzy conditionals generalising the material conditional

    • Enric Trillas

    Pages 83-100

11. Integrating resolution—like procedures with Lukasiewicz implication

    • Gughelmo Tamburrini, Settimo Termini

    Pages 101-108

12. The development of a “Logic of Argumentation”

    • Paul Krause, Simon Ambler, John Fox

    Pages 109-118

13. From “and” to “or”

    • Thierry Arnould, Anca Ralescu

    Pages 119-128

14. Representing spatial and temporal uncertainty

    • Eugene Eberbach, André Trudel

    Pages 129-138

15. An analysis of the temporal relations of intervals in relativistic space-time

    • Rita V. Rodriguez, Frank D. Anger

    Pages 139-148

16. Accumulation and inference over finite-generated algebras for mapping approximations

    • Jaume Casasnovas, Jose J. Miro-Julia

    Pages 149-157

17. Similarity measures for case-based reasoning systems

    • Piero P. Bonissone, Saad Ayub

    Pages 159-172

18. Statistical methods in learning

    • A. Sutherland, R. Henery, R. Molina, C. C. Taylor, R. King

    Pages 173-182

19. Learning from erroneous examples using fuzzy logic and “textbook” knowledge

    • Janusz Kacprzyk, Cezary Iwański

    Pages 183-191

20. Incremental learning of roughly represented concepts

    • Anio O. Arigoni, Cesare Furlanello, Vittorio Maniezzo

    Pages 192-198

The papers in this volume are extended versions of presentations at the fourth International Conference on Information Processing and Management of Uncertainty in Knowledge-based Systems (IPMU), held in Palma de Mallorca, July 6-10, 1992. The conference focused on issues related to the acquisition, representation, management, and transmission of information in knowledge-based and decision-making systems. The book is focused on methodologies related to artificial intelligence, including both theoretical and applied papers. The first section of the book is devoted to non-monotonic reasoning and the managementof default knowledge. The second section deals with methods using non-classical logics to deal with imperfect knowledge and to represent its spatial and temporal components. The third section presents various methods for the acquisition of uncertain and imprecise knowledge. The fourthsection is concerned with the use of qualitative, uncertain, temporal, and ambiguous pieces of information in knowledge-based systems, expert systems, and process controllers. The last section contains papers using artificial neural network methodologies.

• artificial intelligence
• artificial neural network
• expert system
• intelligence
• knowledge
• knowledge-based system
• knowledge-based systems
• neural network
• nonmonotonic reasoning
• uncertainty

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