Description

• Title:
  An Artificial Intelligence Approach to Metaphor Understanding
• Creator:
  Barnden, John A.;
  Lee, Mark G.
• Description:
  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.
• Object availability:
  free access
• Rights:
  Prawa autorskie (c) 2017 Theoria et Historia Scientiarum
• Date:
  2007.01.02
• Type:
  info:eu-repo/semantics/article;
  info:eu-repo/semantics/publishedVersion
• Language:
  English
• Source:
  Theoria et Historia Scientiarum; Vol. 6 No. 1 (2002): Metaphor: A Multidisciplinary Approach; 399-412;
  Theoria et Historia Scientiarum; Tom 6 Nr 1 (2002): Metaphor: A Multidisciplinary Approach; 399-412;
  2392-1196;
  0867-4159
• Format:
  application/pdf
• Publisher:
  Nicolaus Copernicus University in Toruń
• Relation: https://apcz.umk.pl/THS/article/view/ths.2002.017/13459
• Subject:
  metaphor;
  ATT-Meta system;
  artificial intelligence;
  metaphorical reasoning
• Identifier: https://apcz.umk.pl/THS/article/view/ths.2002.017
• Data provider:
  Akademicka Platforma Czasopism
• Can I use it?:
  seek permission
• Type:
  text