A logic-based calculus of events
New Generation Computing
Readings in nonmonotonic reasoning
A simple solution to the Yale shooting problem
Proceedings of the first international conference on Principles of knowledge representation and reasoning
Artificial intelligence and mathematical theory of computation
Conditional nonlinear planning
Proceedings of the first international conference on Artificial intelligence planning systems
Semantical consideration on floyo-hoare logic
SFCS '76 Proceedings of the 17th Annual Symposium on Foundations of Computer Science
What is planning in the presence of sensing?
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 2
Embracing causality in specifying the indeterminate effects of actions
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 1
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Situation Calculus is arguably the most widely studied and used formalism for reasoning about action and change. The main reason for its popularity is the ability to reason about different action sequences as explicit objects. In particular, planning can be formulated as an existence problem. This paper shows how these properties break down when incomplete information about the initial state and nondeterministic action effects are introduced, basically due to the fact that this incompleteness is not adequately manifested on the object level. A version of Situation Calculus is presented which adequately models the alternative ways the world can develop relative to a choice of actions.