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  1. (1 other version)Logic: Techniques of Formal Reasoning.Donald Kalish, Richard Montague & Gary Mar - 1964 - New York, NY, USA: Oxford University Press USA. Edited by Richard Montague.
    Logic: Techniques of Formal Reasoning, 2/e is an introductory volume that teaches students to recognize and construct correct deductions. It takes students through all logical steps--from premise to conclusion--and presents appropriate symbols and terms, while giving examples to clarify principles. Logic, 2/e uses models to establish the invalidity of arguments, and includes exercise sets throughout, ranging from easy to challenging. Solutions are provided to selected exercises, and historical remarks discuss major contributions to the theories covered.
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  • Interest driven suppositional reasoning.John Pollock - manuscript
    The aim of this paper is to investigate two related aspects of human reasoning, and use the results to construct an automated theorem prover for the predicate calculus that at least approximately models human reasoning. The result is a non-resolution theorem prover that does not use Skolemization. It involves two central ideas. One is the interest constraints that are of central importance in guiding human reasoning. The other is the notion of suppositional reasoning, wherein one makes a supposition, draws inferences (...)
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  • Normal natural deduction proofs (in classical logic).Wilfried Sieg & John Byrnes - 1998 - Studia Logica 60 (1):67-106.
    Natural deduction (for short: nd-) calculi have not been used systematically as a basis for automated theorem proving in classical logic. To remove objective obstacles to their use we describe (1) a method that allows to give semantic proofs of normal form theorems for nd-calculi and (2) a framework that allows to search directly for normal nd-proofs. Thus, one can try to answer the question: How do we bridge the gap between claims and assumptions in heuristically motivated ways? This informal (...)
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  • Identity in modal logic theorem proving.Francis J. Pelletier - 1993 - Studia Logica 52 (2):291 - 308.
    THINKER is an automated natural deduction first-order theorem proving program. This paper reports on how it was adapted so as to prove theorems in modal logic. The method employed is an indirect semantic method, obtained by considering the semantic conditions involved in being a valid argument in these modal logics. The method is extended from propositional modal logic to predicate modal logic, and issues concerning the domain of quantification and existence in a world's domain are discussed. Finally, we look at (...)
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  • (1 other version)Logic.Donald Kalish - 1964 - New York,: Harcourt, Brace & World. Edited by Richard Montague.
    Logic: Techniques of Formal Reasoning, 2/e is an introductory volume that teaches students to recognize and construct correct deductions. It takes students through all logical steps--from premise to conclusion--and presents appropriate symbols and terms, while giving examples to clarify principles. Logic, 2/e uses models to establish the invalidity of arguments, and includes exercise sets throughout, ranging from easy to challenging. Solutions are provided to selected exercises, and historical remarks discuss major contributions to the theories covered.
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  • Principia mathematica. Vol. I. Whitehead & Russell - 1911 - Revue Philosophique de la France Et de l'Etranger 72:290-296.
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  • The Logic Book.Merrie Bergmann, James Moor, Jack Nelson & Merrie Bergman - 1982 - Journal of Symbolic Logic 47 (4):915-917.
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  • Logic: Techniques of Formal Reasoning. [REVIEW]J. R. Cameron - 1967 - Philosophical Quarterly 17 (66):81.
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  • Unification For Quantified Formulae.Wilfried Sieg - unknown
    — via appropriate substitutions — syntactically identical. The method can be applied directly to quantifierfree formulae and, in this paper, will b e extended in a natural and strai ghlforward way to quantified formulae.
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  • First-order logic.Raymond Merrill Smullyan - 1968 - New York [etc.]: Springer Verlag.
    This completely self-contained study, widely considered the best book in the field, is intended to serve both as an introduction to quantification theory and as ...
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  • Splitting and reduction heuristics in automatic theorem proving.W. W. Bledsoe - 1971 - Artificial Intelligence 2 (1):55-77.
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  • A Mechanical Proof Procedure and its Realization in an Electronic Computer.Dag Prawitz & Neri Voghera - 1966 - Journal of Symbolic Logic 31 (1):126-126.
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  • Non-resolution theorem proving.W. W. Bledsoe - 1977 - Artificial Intelligence 9 (1):1-35.
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  • Searching for Proofs.Wilfried Sieg & Richard Scheines - unknown
    The Carnegie Mellon Proof Tutor project was motivated by pedagogical concerns: we wanted to use a "mechanical" (i.e. computerized) tutor for teaching students..
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  • How to reason defeasibly.John L. Pollock - 1992 - Artificial Intelligence 57 (1):1-42.
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  • E. W. Beth. On machines which prove theorems. Simon Stevin, vol. 32 (1958), pp. 49–60.E. W. Beth - 1970 - Journal of Symbolic Logic 34 (4):659-659.
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  • (2 other versions)First-order Logic.William Craig - 1975 - Journal of Symbolic Logic 40 (2):237-238.
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