منابع مشابه
Domain Transfer via Analogy 1 Running head: DOMAIN TRANSFER VIA CROSS-DOMAIN ANALOGY Domain Transfer via Cross-Domain Analogy
Analogical learning has long been seen as a powerful way of extending the reach of one‟s knowledge. We present the domain transfer via analogy (DTA) method for learning new domain theories via cross-domain analogy. Our model uses analogies between pairs of textbook example problems, or worked solutions, to create a domain mapping between a familiar and a new domain. This mapping allows us to in...
متن کاملDomain transfer via cross-domain analogy
Analogical learning has long been seen as a powerful way of extending the reach of one’s knowledge. We present domain transfer via analogy (DTA) as a method for learning new domain theories via cross-domain analogy. Our model uses analogies between pairs of textbook example problems, or worked solutions, to create a domain mapping between a familiar and a new domain. This mapping allows us to i...
متن کاملRevising Domain Knowledge with Cross-Domain Analogy
AI systems and human novices share a difficult problem: repairing incorrect models to improve expertise. For people, the use of analogies during instruction can augment the repair of science knowledge. Enabling AI systems to do the same involves several challenges: representing knowledge in commonsense science domains, constructing analogies to transfer knowledge, and flexibly revising domain k...
متن کاملCross-domain activity recognition via transfer learning
In activity recognition, one major challenge is how to reduce the labeling effort one needs to make when recognizing a new set of activities. In this paper, we analyze the possibility of transferring knowledge from the available labeled data on a set of existing activities in one domain to help recognize the activities in another different but related domain. We found that such a knowledge tran...
متن کاملRepairing Qualitative Domain Knowledge with Cross-Domain Analogy
AI systems and human novices share a difficult problem: repairing incorrect models to improve expertise. For people, the use of analogies during instruction can augment the repair of science knowledge. Enabling AI systems to do the same involves several challenges: representing knowledge in commonsense science domains; constructing analogies to transfer knowledge; and flexibly revising domain k...
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ژورنال
عنوان ژورنال: Cognitive Systems Research
سال: 2009
ISSN: 1389-0417
DOI: 10.1016/j.cogsys.2008.09.005