Temporal logics in AI: semantical and ontological considerations
Artificial Intelligence
An interval-based temporal calculus for events with gaps
Journal of Experimental & Theoretical Artificial Intelligence
Artificial Intelligence - Special issue on knowledge representation
Handling infinite temporal data
Selected papers of the 9th annual ACM SIGACT-SIGMOD-SIGART symposium on Principles of database systems
Task modeling with reusable problem-solving methods
Artificial Intelligence
A framework for knowledge-based temporal abstraction
Artificial Intelligence
Semiring-based constraint satisfaction and optimization
Journal of the ACM (JACM)
Remote Agent: to boldly go where no AI system has gone before
Artificial Intelligence - Special issue: artificial intelligence 40 years later
Event detection from time series data
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
Efficient mining of emerging patterns: discovering trends and differences
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
Activity monitoring: noticing interesting changes in behavior
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
Temporal Data Mining with Temporal Constraints
AIME '07 Proceedings of the 11th conference on Artificial Intelligence in Medicine
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We consider the architecture of systems that combine temporal planning and plan execution and introduce a layer of temporal reasoning that potentially improves both the communication between humans and such systems, and the performance of the temporal planner itself. In particular, this additional layer simultaneously supports more flexibility in specifying and maintaining temporal constraints on plans within an uncertain and changing execution environment, and the ability to understand and trace the progress of plan execution. It is shown how a representation based on single set of abstractions of temporal information can be used to characterize the reasoning underlying plan generation and execution interpretation. The complexity of such reasoning is discussed.