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Titlebook: Concept Formation and Knowledge Revision; Stefan Wrobel Book 1994 Springer-Verlag US 1994 artificial intelligence.intelligence.knowledge.k

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書目名稱Concept Formation and Knowledge Revision
編輯Stefan Wrobel
視頻videohttp://file.papertrans.cn/235/234863/234863.mp4
圖書封面Titlebook: Concept Formation and Knowledge Revision;  Stefan Wrobel Book 1994 Springer-Verlag US 1994 artificial intelligence.intelligence.knowledge.k
描述A fundamental assumption of work in artificial intelligence andmachine learning is that knowledge is expressed in a computer with thehelp of knowledge representations. Since the proper choice of suchrepresentations is a difficult task that fundamentally affects thecapabilities of a system, the problem of automatic.representation. .change. is an important topic in currentresearch..Concept Formation. .and Knowledge Revision.focuses on representation change as a .concept. .formation.task, regarding concepts as the elementary representational vocabularyfrom which further statements are constructed..Taking an interdisciplinary approach from psychological foundations tocomputer implementations, the book draws on existing psychologicalresults about the nature of human concepts and concept formation todetermine the scope of concept formation phenomena, and to identifypotential components of computational concept formation models. Thecentral idea of this work is that computational concept formation canusefully be understood as a process that is triggered in ademand-driven fashion by the representational needs of the learningsystem, and identify the .knowledge revision. activities of asystem
出版日期Book 1994
關(guān)鍵詞artificial intelligence; intelligence; knowledge; knowledge base; knowledge representation; learning; logi
版次1
doihttps://doi.org/10.1007/978-1-4757-2317-5
isbn_softcover978-1-4419-5146-5
isbn_ebook978-1-4757-2317-5
copyrightSpringer-Verlag US 1994
The information of publication is updating

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Conscience and the Moral Insight,At the end of this book, we want to conclude with an assessment of areas where we hope this book will make a contribution, a description of problems that are still open, and a discussion of possible future work.
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Demand-Driven Concept Formation,With the discussion of KRT knowledge revision in the preceding chapter, we have finally assembled the three pillars upon which our model of computational concept formation is to be built:
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Conclusions,At the end of this book, we want to conclude with an assessment of areas where we hope this book will make a contribution, a description of problems that are still open, and a discussion of possible future work.
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Glossary of Symbols,This glossary lists the important symbols and abbreviations that are used in the text, in the order of first occurrence. The first column of the table contains the symbol or abbreviation, the second provides a short reminder of its meaning, and the third lists the page or pages where the symbol is defined or first mentioned.
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https://doi.org/10.1007/978-3-7091-6130-2ent capabilities of humans. Since the early fifties of this century, this goal is being addressed in the subdiscipline of computer science that has come to be known under the name of Artificial Intelligence (AI) [Charniak and McDermott, 1985; Winston, 1992]. We can define the goal of this discipline
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