Uncertainty and conflict handling in the ATT-Meta context-based system for metaphorical reasoning

In P. Bouquet V. Akman (ed.), Modeling and Using Context. Springer. pp. 15--29 (2001)
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Abstract

At a previous conference (CONTEXT’99), the author described the ATT-Meta context-based AI system for (a) reasoning uncertainly about agents’ beliefs and (b) performing some of the uncertain reasoning needed for the understanding of metaphorical language. ATT-Meta’s handling of uncertainty is qualitative, and includes provisions for adjudicating conflicts between different lines of reasoning. But most of the detail on conflict-handling given in the earlier paper concerned conflicts arising for the special requirements of (a). Furthermore, there have been major recent changes in the conflict-handling approach. The present paper provides a detailed account of major parts of the current approach, stressing how it operates in metaphorical reasoning. In concentrating on uncertainty-handling, this paper does not seek to repeat the justifications given elsewhere for ATT-Meta’s approach to metaphor.

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John A Barnden
University of Birmingham

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References found in this work

The Contemporary Theory of Metaphor.George Lakoff - 1993 - In Andrew Ortony (ed.), Metaphor and Thought. Cambridge University Press. pp. 202-251.
A logic for default reasoning.Ray Reiter - 1980 - Artificial Intelligence 13 (1-2):81-137.
Metaphor: Its Cognitive Force and Linguistic Structure.Eva Feder Kittay - 1987 - Oxford, England: Oxford University Press.
Metaphor, its cognitive force and linguistic structure.Eva Feder Kittay - 1989 - Revue Philosophique de la France Et de l'Etranger 179 (4):636-636.

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