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

20 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 - 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/Territory	United States
City	Pittsburgh, PA
Period	7/9/05 → 7/13/05

ASJC Scopus subject areas

Software
Artificial Intelligence

Cite this

@conference{1cad0a483c3a492eb633f35edef44461,

title = "Solving everyday physical reasoning problems by analogy using sketches",

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.",

author = "Matthew Klenk and Forbus, {Kenneth D} and Emmett Tomai and Hyeonkyeong Kim and Brian Kyckelhahn",

year = "2005",

language = "English (US)",

pages = "209--215",

note = "20th National Conference on Artificial Intelligence and the 17th Innovative Applications of Artificial Intelligence Conference, AAAI-05/IAAI-05 ; Conference date: 09-07-2005 Through 13-07-2005",

}

Solving everyday physical reasoning problems by analogy using sketches. / Klenk, Matthew; Forbus, Kenneth D; Tomai, Emmett et al.

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

TY - CONF

T1 - Solving everyday physical reasoning problems by analogy using sketches

AU - Klenk, Matthew

AU - Forbus, Kenneth D

AU - Tomai, Emmett

AU - Kim, Hyeonkyeong

AU - Kyckelhahn, Brian

PY - 2005

Y1 - 2005

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=29344431911&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=29344431911&partnerID=8YFLogxK

M3 - Paper

AN - SCOPUS:29344431911

SP - 209

EP - 215

T2 - 20th National Conference on Artificial Intelligence and the 17th Innovative Applications of Artificial Intelligence Conference, AAAI-05/IAAI-05

Y2 - 9 July 2005 through 13 July 2005

ER -

Solving everyday physical reasoning problems by analogy using sketches

Abstract

Other

ASJC Scopus subject areas

Other files and links

Fingerprint

Cite this