Solving everyday physical reasoning problems by analogy using sketches

Matthew Klenk; Kenneth D Forbus; Emmett Tomai; Hyeonkyeong Kim; Brian Kyckelhahn

Solving everyday physical reasoning problems by analogy using sketches

Matthew Klenk^*, Kenneth D Forbus, Emmett Tomai, Hyeonkyeong Kim, Brian Kyckelhahn

^*Corresponding author for this work

Computer Science

Research output: Contribution to conference › Paper › peer-review

17 Scopus citations

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

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Solving everyday physical reasoning problems by analogy using sketches. / Klenk, Matthew; Forbus, Kenneth D; Tomai, Emmett; Kim, Hyeonkyeong; Kyckelhahn, Brian.

2005. 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.

Research output: Contribution to conference › Paper › peer-review

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AU - Kim, Hyeonkyeong

AU - Kyckelhahn, Brian

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