Hyeonkyeong Kim

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In order for a program to interact with the world as well as people do, we must provide it with a great deal of commonsense about the way things work. Reasoning about the geometric interactions and motions of objects is an important part of that commonsense. Some of the most complex problems we solve involve reasoning about mechanical devices, such as(More)
Understanding people's commonsense knowledge about physical world is a fundamental problem in building intelligent systems. If this knowledge can be represented and used by computers, they can duplicate people's ability to understand and interact with the world. Qualitative physics is the attempt to capture and formalize this knowledge. An important aspect(More)
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(More)
One of the central problems of artificial intelligence is capturing the breadth and flexibility of human common sense reasoning. One way to evaluate common sense is to use versions of human tests that rely on everyday reasoning. The Bennett Mechanical Comprehension Test consists of everyday reasoning problems posed via pictures and is used to evaluate(More)
Osteoarthritis (OA) is one of the most prevalent forms of joint disorder, associated with a tremendous socioeconomic burden worldwide. Various non-genetic and lifestyle-related factors such as aging and obesity have been recognized as major risk factors for OA, underscoring the potential role for epigenetic regulation in the pathogenesis of the disease.(More)
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