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| Titel: |
Semantics in analogical reasoning |
| Auteur: |
Hunt, William T. McLEISH, MARY |
| Verschenen in: |
Journal of experimental & theoretical artificial intelligence |
| Paginering: | Jaargang 3 (1991) nr. 2 pagina's 145-160 |
| Jaar: |
1991-04-01 |
| Inhoud: |
To have broad application or approach the capacity of ordinary human thinking, analogical reasoning programs must become more complex or their semantics must become richer, or both. Little research is being done to discover what a broad collection of semantics can contribute to general-purpose analogical reasoning. From an analysis of a small collection of words, two classes containing over 300 categories are determined representing the semantics for understanding metaphors. A broad-based collection of simple target is source metaphors is sampled with each target and source represented in terms of these categories without known influence from the respective metaphor. A computational model is developed drawing on several disciplines while using rules for the recognition and elaboration phases of reasoning. Recognition primarily involves finding and reorganizing relevant schemata within the source. Elaboration involves reorganizing and possibly adding to the target. Given each metaphor, the TisS computer program creates a new representation of each target and source including several meanings for each metaphor. A test with human subjects making aptness and agreement judgements on the generated statements is discussed, suggesting a methodology for using a rich semantic base in analogical reasoning. |
| Uitgever: |
Taylor & Francis |
| Bronbestand: |
Elektronische Wetenschappelijke Tijdschriften |
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