Norman McCain
University of Texas at Austin
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Featured researches published by Norman McCain.
Artificial Intelligence | 2004
Enrico Giunchiglia; Vladimir Lifschitz; Norman McCain; Hudson Turner
The nonmonotonic causal logic defined in this paper can be used to represent properties of actions, including actions with conditional and indirect effects, nondeterministic actions, and concurrently executed actions. It has been applied to several challenge problems in the theory of commonsense knowledge. We study the relationship between this formalism and other work on nonmonotonic reasoning and knowledge representation, and discuss its implementation, called the Causal Calculator.
international conference on logic programming | 1995
Vladimir Lifschitz; Norman McCain; Teodor C. Przymusinski; Robert F. Stärk
Using a calculus of goals, we define the success and failure of a goal for propositional programs in the presence of loop checking. The calculus is sound with respect to the well-founded semantics; for finite programs, it is also complete. A Prolog-style proof search strategy for a modification of this calculus provides a query evaluation algorithm for finite propositional programs under the well-founded semantics. This algorithm is implemented as a meta-interpreter.
national conference on artificial intelligence | 1997
Norman McCain; Hudson Turner
international joint conference on artificial intelligence | 1995
Norman McCain; Hudson Turner
principles of knowledge representation and reasoning | 1998
Norman McCain; Hudson Turner
Archive | 1997
Norman McCain
Logic-based artificial intelligence | 2000
Vladimir Lifschitz; Norman McCain; Emilio Remolina; Armando Tacchella
international conference on logic programming | 1994
Norman McCain; Hudson Turner
Archive | 1997
Norman McCain; Hudson Turner
international conference on logic programming | 1993
Vladimir Lifschitz; Norman McCain; Hudson Turner