An Artificial Intelligence Approach to Metaphor Understanding

John A. Barnden, Mark G. Lee

DOI: http://dx.doi.org/10.12775/ths.2002.017

Abstract


An implemented system called ATT-Meta is sketched. The system can perform an important type of metaphor-based reasoning. It is based on an emphasis on source-domain reasoning and a de-emphasis of the idea of creating new mappings between source domain and target domain. The metaphor-based reasoning is fully integrated into a general framework for uncertain reasoning. The system thereby copes with various different types of uncertainty involved in metaphor understanding. The view of metaphor on which the system is founded is highly understander-relative, and does not require prior assumptions about what literal discourse is.

Keywords


metaphor; ATT-Meta system; artificial intelligence; metaphorical reasoning

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References


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