Artificial intelligence
Handbook of theoretical computer science (vol. B)
Planning and control
Model-checking in dense real-time
Information and Computation - Special issue: selections from 1990 IEEE symposium on logic in computer science
Real-time logics: complexity and expressiveness
Information and Computation - Special issue: selections from 1990 IEEE symposium on logic in computer science
Planning for temporally extended goals
Annals of Mathematics and Artificial Intelligence
Focusing qualitative simulation using temporal logic: theoretical foundations
Annals of Mathematics and Artificial Intelligence
Temporal representation and reasoning in artificial intelligence: Issues and approaches
Annals of Mathematics and Artificial Intelligence
Reasoning about Robot Actions: A Model Checking Approach
Revised Papers from the International Seminar on Advances in Plan-Based Control of Robotic Agents,
Maintenance goals of agents in a dynamic environment: Formulation and policy construction
Artificial Intelligence
Learning in Planning with Temporally Extended Goals and Uncontrollable Events
Proceedings of the 2008 conference on ECAI 2008: 18th European Conference on Artificial Intelligence
Non-monotonic temporal logics that facilitate elaboration tolerant revision of goals
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 1
Electronic Notes in Theoretical Computer Science (ENTCS)
Planning for temporally extended goals
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 2
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This paper introduces a novel planning method for reactive agents. Our planning method handles, in a single framework, issues from AI, control theory, and concurrency that have so far been considered apart. These issues are mostly controllability, safety, bounded liveness, and real time. Our approach is founded on the supervisory control theory and on Metric Temporal Logic (MTL). The highlights of our method consist of a new technique for incrementally checking MTL goal formulas over sequences of states generated by actions and a new method for backtracking during search by taking into account uncontrollable actions.