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.
| Identifer | oai:union.ndltd.org:MIT/oai:dspace.mit.edu:1721.1/5955 |
| Date | 01 February 1993 |
| Creators | Borchardt, Gary C. |
| Source Sets | M.I.T. Theses and Dissertation |
| Language | en_US |
| Detected Language | English |
| Format | 61 p., 548466 bytes, 2780985 bytes, application/octet-stream, application/pdf |
| Relation | AIM-1403 |
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