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Titlebook: The Knowledge Frontier; Essays in the Repres Nick Cercone,Gordon McCalla Book 1987 Springer-Verlag New York Inc. 1987 artificial intelligen

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書目名稱The Knowledge Frontier
副標(biāo)題Essays in the Repres
編輯Nick Cercone,Gordon McCalla
視頻videohttp://file.papertrans.cn/913/912644/912644.mp4
叢書名稱Symbolic Computation
圖書封面Titlebook: The Knowledge Frontier; Essays in the Repres Nick Cercone,Gordon McCalla Book 1987 Springer-Verlag New York Inc. 1987 artificial intelligen
描述Knowledge representation is perhaps the most central problem confronting artificial intelligence. Expert systems need knowledge of their domain of expertise in order to function properly. Computer vlslOn systems need to know characteristics of what they are "seeing" in order to be able to fully interpret scenes. Natural language systems are invaluably aided by knowledge of the subject of the natural language discourse and knowledge of the participants in the discourse. Knowledge can guide learning systems towards better understanding and can aid problem solving systems in creating plans to solve various problems. Applications such as intelligent tutoring. computer-aided VLSI design. game playing. automatic programming. medical reasoning. diagnosis in various domains. and speech recogOltlOn. to name a few. are all currently experimenting with knowledge-based approaches. The problem of knowledge representation breaks down into several subsidiary problems including what knowledge to represent in a particular application. how to extract or create that knowledge. how to represent the knowledge efficiently and effectively. how to implement the knowledge representation scheme chosen. how
出版日期Book 1987
關(guān)鍵詞artificial intelligence; intelligence; knowledge; knowledge representation; linguistics; philosophy; reaso
版次1
doihttps://doi.org/10.1007/978-1-4612-4792-0
isbn_softcover978-1-4612-9158-9
isbn_ebook978-1-4612-4792-0
copyrightSpringer-Verlag New York Inc. 1987
The information of publication is updating

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Symbolic Computationhttp://image.papertrans.cn/t/image/912644.jpg
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https://doi.org/10.1007/978-1-4612-4792-0artificial intelligence; intelligence; knowledge; knowledge representation; linguistics; philosophy; reaso
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Book 1987ertise in order to function properly. Computer vlslOn systems need to know characteristics of what they are "seeing" in order to be able to fully interpret scenes. Natural language systems are invaluably aided by knowledge of the subject of the natural language discourse and knowledge of the partici
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lem of knowledge representation breaks down into several subsidiary problems including what knowledge to represent in a particular application. how to extract or create that knowledge. how to represent the knowledge efficiently and effectively. how to implement the knowledge representation scheme chosen. how 978-1-4612-9158-9978-1-4612-4792-0
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