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This paper describes the Structure-Mapping Engine (SME), a program for studying analogical processing. SME has been built to explore Gentner's Structure-mapping theory of analogy, and provides a \tool kit" for constructing matching algorithms consistent with this theory. Its exibility enhances cognitive simulation studies by simplifying experimentation.(More)
Objects move, collide, flow, bend, heat up, cool down, stretch, compress. and boil. These and other things that cause changes in objects over time are intuitively characterized as processes. To understand commonsense physical reasoning and make programs that interact with the physical world as well as people do we must understand qualitative reasoning about(More)
We present a model of similarity-based retrieval which attempts to capture three psychological phenomena: (1) people are extremely good at judging similarity and analogy when given items to compare. (2) Supercial remindings are much more frequent than structural remindings. (3) People sometimes experience and use purely structural analogical re-mindings.(More)
This paper describes the Structure-Mapping Engine (SME), a cognitive simulation program for studying human analogical processing. SME is based on Gentner's Structure-Mapping theory of analogy, and provides a " tool kit " for constructing matching algorithms consistent with this theory. This flexibility enhances cognitive simulation studies by simplifying(More)
Falkenhainer, B. and K.D. Forbus, Compositional modeling: finding the right model for the job, Artificial Intelligence 51 (1991) 95-143. To represent an engineer's knowledge will require domain theories that are orders of magnitude larger than today's theories, describe phenomena at several levels of granularity, and incorporate multiple perspectives. To(More)
Case-based reasoning (CBR) is an approach to problem solving that emphasizes the role of prior experience during future problem solving (i.e., new problems are solved by reusing and if necessary adapting the solutions to similar problems that were solved in the past). It has enjoyed considerable success in a wide variety of problem solving tasks and(More)
One of the original motivations for research in qualitative physics was the development of intelligent tutoring systems and learning environments for physical domains and complex systems. This article demonstrates how a synergistic combination of qualitative reasoning and other AI techniques can be used to create an intelligent learning environment for(More)
In this paper, we describe CogSketch, an open-domain sketch understanding system built on the nuSketch architecture. CogSketch captures the multi-modal, unconstrained nature of sketching by focusing on reasoning over recognition. We describe this approach, as well as two application domains for CogSketch: cognitive modeling, and education.