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Journal of Experimental & Theoretical Artificial Intelligence Volume 23, 2011 - Issue 3: Psychometric Artificial Intelligence
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Original Articles

Using analogical model formulation with sketches to solve Bennett Mechanical Comprehension Test problems

Matthew Klenk Qualitative Reasoning Group, Northwestern University, 2133 Sheridan Road, Evanston, IL, USACorrespondence[email protected]
,
Ken Forbus Qualitative Reasoning Group, Northwestern University, 2133 Sheridan Road, Evanston, IL, USA
,
Emmett Tomai Qualitative Reasoning Group, Northwestern University, 2133 Sheridan Road, Evanston, IL, USA
&
Hyeonkyeong Kim Qualitative Reasoning Group, Northwestern University, 2133 Sheridan Road, Evanston, IL, USA
Pages 299-327 | Received 06 Oct 2008, Accepted 01 Oct 2009, Published online: 22 Jul 2011

Citations (9)

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Stellan Ohlsson, Robert H. Sloan, György Turán & Aaron Urasky. (2017) Measuring an artificial intelligence system’s performance on a Verbal IQ test for young children. Journal of Experimental & Theoretical Artificial Intelligence 29:4, pages 679-693.
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Articles from other publishers (8)

Jacek Mandziuk & Adam Zychowski. (2019) DeepIQ: A Human-Inspired AI System for Solving IQ Test Problems. DeepIQ: A Human-Inspired AI System for Solving IQ Test Problems.
Kenneth D. Forbus, Chen Liang & Irina Rabkina. (2017) Representation and Computation in Cognitive Models. Topics in Cognitive Science 9:3, pages 694-718.
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José Hernández-Orallo, Fernando Martínez-Plumed, Ute Schmid, Michael Siebers & David L. Dowe. (2016) Computer models solving intelligence test problems: Progress and implications. Artificial Intelligence 230, pages 74-107.
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Ariel Klein & Toni Badia. (2015) The Usual and the Unusual: Solving Remote Associates Test Tasks Using Simple Statistical Natural Language Processing Based on Language Use. The Journal of Creative Behavior 49:1, pages 13-37.
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Kenneth Forbus. 2014. Computing Handbook, Third Edition. Computing Handbook, Third Edition 1 22 .
Henri Prade & Gilles Richard. 2014. Computational Approaches to Analogical Reasoning: Current Trends. Computational Approaches to Analogical Reasoning: Current Trends 217 244 .
Henri Prade & Gilles Richard. 2014. Computational Approaches to Analogical Reasoning: Current Trends. Computational Approaches to Analogical Reasoning: Current Trends 1 22 .
Matthew Klenk & Ken Forbus. (2013) Exploiting persistent mappings in cross-domain analogical learning of physical domains. Artificial Intelligence 195, pages 398-417.
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