Artificial intelligence and mathematical theory of computation
A multimodal logic to define modules in logic programming
ILPS '93 Proceedings of the 1993 international symposium on Logic programming
Knowledge representation and reasoning for mixed-initiative planning
Knowledge representation and reasoning for mixed-initiative planning
Event Calculus Planning Revisited
ECP '97 Proceedings of the 4th European Conference on Planning: Recent Advances in AI Planning
Knowledge preconditions for actions and plans
IJCAI'87 Proceedings of the 10th international joint conference on Artificial intelligence - Volume 2
What is planning in the presence of sensing?
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 2
Disjunction and modular goal-directed proof search
ACM Transactions on Computational Logic (TOCL)
The QMLTP problem library for first-order modal logics
IJCAR'12 Proceedings of the 6th international joint conference on Automated Reasoning
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In abductive planning, plans are constructed as reasons for an agent to act: plans are demonstrations in logical theory of action that a goal will result assuming that given actions occur successfully. This paper shows how to construct plans abductively for an agent that can sense the world to augment its partial information. We use a formalism that explicitly refers not only to time but also to the information on which the agent deliberates. Goals are reformulated to represent the successive stages of deliberation and action the agent follows in carrying out a course of action, while constraints on assumed actions ensure that an agent at each step performs a specific action selected for its known effects. The result is a simple formalism that can directly inform extensions to implemented planners.