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Titlebook: Knowledge Representation and Metaphor; Eileen Cornell Way Book 1991 Springer Science+Business Media B.V. 1991 artificial intelligence.cogn

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書目名稱Knowledge Representation and Metaphor
編輯Eileen Cornell Way
視頻videohttp://file.papertrans.cn/545/544023/544023.mp4
叢書名稱Studies in Cognitive Systems
圖書封面Titlebook: Knowledge Representation and Metaphor;  Eileen Cornell Way Book 1991 Springer Science+Business Media B.V. 1991 artificial intelligence.cogn
描述This series will include monographs and collections of studies devoted to the investigation and exploration of knowledge, information, and data- processing systems of all kinds, no matter whether human, (other) animal, or machine. Its scope is intended to span the full range of interests from classical problems in the philosophy of mind and philosophical psychol- ogy through issues in cognitive psychology and sociobiology (concerning the mental capabilities of other species) to ideas related to artificial intelligence and computer science. While primary emphasis will be placed upon theoretical, conceptual, and epistemological aspects of these problems and domains, empirical, experimental, and methodological studies will also appear from time to time. The problems posed by metaphor and analogy are among the most challenging that confront the field of knowledge representation. In this study, Eileen Way has drawn upon the combined resources of philosophy, psychology, and computer science in developing a systematic and illuminating theoretical framework for understanding metaphors and analogies. While her work provides solutions to difficult problems of knowledge representation, it goe
出版日期Book 1991
關(guān)鍵詞artificial intelligence; cognitive psychology; intelligence; knowledge; knowledge representation; mind; ph
版次1
doihttps://doi.org/10.1007/978-94-015-7941-4
isbn_softcover978-90-481-4079-4
isbn_ebook978-94-015-7941-4Series ISSN 0924-0780
issn_series 0924-0780
copyrightSpringer Science+Business Media B.V. 1991
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Eileen Cornell Wayts application software. We need to aggregate and then analyze those datasets. Symbolic Data Analysis (SDA) was proposed by E. Diday in 1980s (Billard L, Diday E (2007) Symboic data analysis. Wiley, Chichester), mainly targeted for large scale complex datasets. There are many researches of SDA with
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Eileen Cornell Wayas been shown to be NP-hard, a large number of heuristic modularity maximization algorithms have been developed. In the 10th DIMACS Implementation Challenge of the Center for Discrete Mathematics & Theoretical Computer Science (DIMACS) for graph clustering our core groups graph clustering scheme com
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Eileen Cornell Wayical side effect called endoleak. The risk prediction of endoleak is essential for pre-operative planning (Nakatamari et al., J Vasc Interv Radiol 22(7):974–979, 2011). In this study, we focus on a quantitative curvature in the morphology of a patient’s aorta, and predict the risk of endoleak format
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