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Titlebook: Mechanizing Hypothesis Formation; Mathematical Foundat Petr Hájek,Tomá? Havránek Book 1978 Springer-Verlag Berlin Heidelberg 1978 Formation

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書目名稱Mechanizing Hypothesis Formation
副標題Mathematical Foundat
編輯Petr Hájek,Tomá? Havránek
視頻videohttp://file.papertrans.cn/629/628793/628793.mp4
叢書名稱Universitext
圖書封面Titlebook: Mechanizing Hypothesis Formation; Mathematical Foundat Petr Hájek,Tomá? Havránek Book 1978 Springer-Verlag Berlin Heidelberg 1978 Formation
描述Hypothesis formation is known as one of the branches of Artificial Intelligence, The general question of Artificial IntelligencE‘ ,"Can computers think?" is specified to the question ,"Can computers formulate and justify hypotheses?" Various attempts have been made to answer the latter question positively. The present book is one such attempt. Our aim is not to formalize and mechanize the whole domain of inductive reasoning. Our ultimate question is: Can computers formulate and justify scientific hypotheses? Can they comprehend empirical data and process them rationally, using the apparatus of modern mathematical logic and statistics to try to produce a rational image of the observed empirical world? Theories of hypothesis formation are sometimes called logics of discovery. Plotkin divides a logic of discovery into a logic of induction: studying the notion of justification of a hypothesis, and a logic of suggestion: studying methods of suggesting reasonable hypotheses. We use this division for the organization of the present book: Chapter I is introductory and explains the subject of our logic of discovery. The rest falls into two parts: Part A - a logic of induction, and Part B -
出版日期Book 1978
關(guān)鍵詞Formation; Künstliche Intelligenz; artificial intelligence; function; intelligence; mathematical logic; op
版次1
doihttps://doi.org/10.1007/978-3-642-66943-9
isbn_softcover978-3-540-08738-0
isbn_ebook978-3-642-66943-9Series ISSN 0172-5939 Series E-ISSN 2191-6675
issn_series 0172-5939
copyrightSpringer-Verlag Berlin Heidelberg 1978
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A General GUHA-Method with Associational Quantifershe whole chapter can be viewed as an extensive example capable of concrete machine realization ( c f. the postscript). Remember the notion of a GUHA-method as a parametrical system < ?(P) ?(P), X(P):P parameter> where each ?(P) is a semantic system, ?(P) is an r-problem in ?(P), and X (P) is a funct
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Further Statistical Problems of the Logic of Discoverystanding of the results obtained by methods of discovery, particularly by GUHA-methods. Roughly speaking, we have to answer the following two questions: given an r-problem ?, a model . and a solution X of ? in .: (1) What is the exact statistical meaning of a sentence belonging to X? (2) What is the
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978-3-540-08738-0Springer-Verlag Berlin Heidelberg 1978
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Further Statistical Problems of the Logic of Discoverystanding of the results obtained by methods of discovery, particularly by GUHA-methods. Roughly speaking, we have to answer the following two questions: given an r-problem ?, a model . and a solution X of ? in .: (1) What is the exact statistical meaning of a sentence belonging to X? (2) What is the exact meaning of X as a whole?
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