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

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https://doi.org/10.1007/978-3-642-66943-9Formation; Künstliche Intelligenz; artificial intelligence; function; intelligence; mathematical logic; op

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Logical Foundations of Computational Statistics“Statistical data analysis and hypothesis testing does not involve logical deductive reasoning, as the words “inference” and “mathematical statistics” may suggest, but stochastic inductive reasoning. Especially when done with the computer, all problems inherent in inductive reasoning arise” (Van Reeken 1971).

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Rank CalculiThe present chapter is devoted to the description and investigation of a particular class of observational calculi based on statistical procedures called rank tests.

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Listing of Important Observational Statements and Related Logical Problemsf the scientist’s guessing hypotheses but will feel free to respect and utilize the differences between human and computer skills. Furthermore, we shall not attempt to mechanize the whole process of arriving at hypotheses but only one of its substantial parts, namely the process of intelligent obser

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A General GUHA-Method with Associational Quantifers be defined uniquely as a set, and, secondly, we do not discuss questions of the particular bounds for various subparameters since this question is relevant only when one is going to write a program f o r a particular machine. Hence, the notion we shall define i s :. is . GUHA-method with associatio

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0172-5939 uters 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 ultimat

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