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Titlebook: Logics in AI; European Workshop JE D. Pearce,G. Wagner Conference proceedings 1992 Springer-Verlag Berlin Heidelberg 1992 Artificial intell

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,Tableau-based theorem proving and synthesis of λ-terms in the intuitionistic logic,ction calculus, our calculus is very appropriate for automatic reasoning. We implemented the calculus in Prolog. A strategy which is similar to model elimination has been built in. Several formulas (including program synthesis problems) have been proven automatically.
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Reasoning with defeasible arguments: Examples and applications,ning, backward reasoning and, in particular, . thereof. Resource bounded defeasible reasoning is also briefly dealt with (the prefix ‘defeasible’ is essential here). The main goal of this paper is not to tell how this should be done, but to show how these simple procedures suddenly may change in the context of defeasible argumentation.
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About deductive generalization,s, which can be checked in an efficient way, also prove useful when satisfied since they sometimes allow one to prune the space of potential generalizations. Departing from a standard logical framework, we then show how an intuitionistic account of deductive generalization relaxes those conditions to make them more natural.
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Transition systems and dynamic semantics,ging full circle the connection between static and dynamic notions. Only states computationally accessible from an initial state (with minimal information content) are considered, motivating the introduction of an internal notion of proposition on which the concept of an update is analyzed.
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A modal theory of arrows. Arrow logics I, setting different properties of arrow structures. Several kinds of completeness theorems for BAL and some other arrow logics are proved, including completeness with respect to classes of finite models. And the end some open problems and possibilities for further development of the “arrow” approach are formulated.
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