Abstract
Understanding common sense reasoning about the physical world is one of the goals of qualitative reasoning research. This paper describes how we combine qualitative mechanics and analogy to solve everyday physical reasoning problems posed as sketches. The problems are drawn from the Bennett Mechanical Comprehension Test, which is used to evaluate technician candidates. We discuss sketch annotations, which define conceptual quantities in terms of visual measurements, how modeling decisions are made by analogy, and how analogy can be used to frame comparative analysis problems. Experimental results support the plausibility of this approach.
| Original language | English (US) |
|---|---|
| Pages | 209-215 |
| Number of pages | 7 |
| State | Published - Dec 1 2005 |
| Event | 20th National Conference on Artificial Intelligence and the 17th Innovative Applications of Artificial Intelligence Conference, AAAI-05/IAAI-05 - Pittsburgh, PA, United States Duration: Jul 9 2005 → Jul 13 2005 |
Other
| Other | 20th National Conference on Artificial Intelligence and the 17th Innovative Applications of Artificial Intelligence Conference, AAAI-05/IAAI-05 |
|---|---|
| Country | United States |
| City | Pittsburgh, PA |
| Period | 7/9/05 → 7/13/05 |
ASJC Scopus subject areas
- Software
- Artificial Intelligence
Fingerprint Dive into the research topics of 'Solving everyday physical reasoning problems by analogy using sketches'. Together they form a unique fingerprint.
Cite this
Klenk, M., Forbus, K. D., Tomai, E., Kim, H., & Kyckelhahn, B. (2005). Solving everyday physical reasoning problems by analogy using sketches. 209-215. Paper presented at 20th National Conference on Artificial Intelligence and the 17th Innovative Applications of Artificial Intelligence Conference, AAAI-05/IAAI-05, Pittsburgh, PA, United States.