| Título: | Causal Reconstruction |
| Autores: | Borchardt, Gary C. |
| Fecha: |
2004-10-04 2004-10-04 1993-02-01 |
| Publicador: | MIT |
| Fuente: |
 |
| Tipo: | |
| Tema: |
knowledge representation explanation causal reasoning sanalogy abstraction natural language |
| Descripción: | Causal reconstruction is the task of reading a written causal description of a physical behavior, forming an internal model of the described activity, and demonstrating comprehension through question answering. T his task is difficult because written d escriptions often do not specify exactly how r eferenced events fit together. This article (1) ch aracterizes the causal reconstruction problem, (2) presents a representation called transition space, which portrays events in terms of "transitions,'' or collections of changes expressible in everyday language, and (3) describes a program called PATHFINDER, which uses the transition space representation to perform causal reconstruction on simplified English descriptions of physical activity. |
| Idioma: | Inglés |
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