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A Strong Relevant Logic Model of Epistemic Processes in Scientific Discovery

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Discovey Science (DS 1998)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1532))

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Abstract

In various mathematical, natural, and social scientific literature, it is probably difficult, if not impossible, to find a sentence form that is more generally used to describe various definitions, propositions, theorems, and laws than the sentence form of ’if... then...’. In logic, a sentence in the form of ’if... then...’ is usually called a conditional proposition or simply conditional which states that there exists a sufficient condition relation between the ’if’ part (antecedent) and the ’then’ part (consequent) of the sentence. Mathematical, natural, and social scientists always use conditionals in their descriptions of various definitions, propositions, theorems, and laws to connect a concept, fact, situation or conclusion and its sufficient conditions. Indeed, the major work of almost all scientists is to discover some sufficient condition relations between various phenomena, data, and laws in their research fields

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© 1998 Springer-Verlag Berlin Heidelberg

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Cheng, J. (1998). A Strong Relevant Logic Model of Epistemic Processes in Scientific Discovery. In: Arikawa, S., Motoda, H. (eds) Discovey Science. DS 1998. Lecture Notes in Computer Science(), vol 1532. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-49292-5_42

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  • DOI: https://doi.org/10.1007/3-540-49292-5_42

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-65390-5

  • Online ISBN: 978-3-540-49292-4

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