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Titlebook: 10th International Conference on Automated Deduction; Kaiserslautern, FRG, Mark E. Stickel Conference proceedings 1990 Springer-Verlag Berl

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https://doi.org/10.1007/978-1-60327-210-0variety of disguises, and has been used in automated theorem proving, abstract algebra, and formal logic. The algorithm we give here is particularly suited for shared-memory parallel computers, where it makes possible economies of space. Implementations of the algorithm in two application contexts are described and experimental results given.
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Basic models of image formation,ary to infer p to be true in the program {. ← .; . ← .; . ← ¬.; . ← ¬.}. We call this generalized semantics, the generalized well-founded semantics. We present fixpoint and model theoretic definitions for generalized well-founded semantics and show their equivalence.
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https://doi.org/10.1007/978-1-84628-688-9orem proving. This shell (.arlsruhe .nteractive .erifier) allows easy implementations of various strategies which are guaranteed to be correct with respect to the basic logic. It is shown how tactical theorem proving is adapted for the above purposes.
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3-D Shape Estimation and Image Restorationrove geometric theorems that Wu‘s original method addresses. Unlike Wu‘s original approach, nondegenerate conditions are given explicitly at the beginning, not generated during the proof process. A program based on this improved version of the algorithm proved more than 500 theorems, including Morley‘s trisector theorem.
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Basic models of image formation,d commutative variable-binding operators are equal is polynomially equivalent to determining if two graphs are isomorphic. The reductions we use provide insight into this result and suggest polynomial time special cases.
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https://doi.org/10.1007/3-540-52885-7Artificial intelligence; Automat; Resolution; automated deduction; intelligence; logic; programming; provin
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978-3-540-52885-2Springer-Verlag Berlin Heidelberg 1990
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Dealing with multiple moving objects,A method for .-unification in arbitrary equational theories . is presented which directly generalizes the standard technique of Narrowing. The method is defined in terms of transformations on systems, building upon and refining results of Gallier and Snyder.
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