Temporal logics for real-time system specification
ACM Computing Surveys (CSUR)
An Interval Logic for Real-Time System Specification
IEEE Transactions on Software Engineering
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Discovering Frequent Arrangements of Temporal Intervals
ICDM '05 Proceedings of the Fifth IEEE International Conference on Data Mining
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TASIP '01 Proceedings of the workshop on Temporal and spatial information processing - Volume 13
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Proceedings of the 2009 conference on Ontology Representation: Design Patterns and Ontologies that Make Sense
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ISPDC'03 Proceedings of the Second international conference on Parallel and distributed computing
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Scientific and Technical Information Processing
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Proceedings of the 6th ACM International Conference on Distributed Event-Based Systems
Multi-Dimensional Relational Sequence Mining
Fundamenta Informaticae - Progress on Multi-Relational Data Mining
Mining first-order temporal interval patterns with regular expression constraints
DaWaK'07 Proceedings of the 9th international conference on Data Warehousing and Knowledge Discovery
Automatic Learning of Temporal Relations Under the Closed World Assumption
Fundamenta Informaticae - Cognitive Informatics and Computational Intelligence: Theory and Applications
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We present a representation of events and action based on interval temporal logic that is significantly more expressive and more natural than most previous AI approaches. The representation is motivated by work in natural language semantics and discourse, temporal logic, and AI planning and plan recognition. The formal basis of the representation is presented in detail, from the axiomatization of time periods to the relationship between actions and events and their effects. The power of the representation is illustrated by applying it to the axiomatization and solution of several standard problems from the AI literature on action and change. An approach to the frame problem based on explanation closure is shown to be both powerful and natural when combined with our representational framework. We also discuss features of the logic that are beyond the scope of many traditional representations, and describe our approach to difficult problems such as external events and simultaneous actions.