Artificial Intelligence - Special issue on logical formalizations and commonsense reasoning
Representing the zoo world and the traffic world in the language of the causal calculator
Artificial Intelligence - Special issue on logical formalizations and commonsense reasoning
Event calculus and temporal action logics compared
Artificial Intelligence
Event calculus and temporal action logics compared
Artificial Intelligence
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In this dissertation, we investigate the role of causal knowledge in commonsense reasoning about action and change. We define a language in which a relatively simple form of causal knowledge is expressed. Using this language, we describe a novel approach to formalizing action domains as "causal theories" including domains that involve concurrency, nondeterminism, and things that change by themselves. We show that a subclass of causal theories can be translated into propositional logic by a generalization of Clark''s completion procedure for logic programs. Finally, we describe an implemented approach to automated query answering and "satisfiability planning" which is based on this translation.