Towards a general theory of action and time
Artificial Intelligence
A logic-based calculus of events
New Generation Computing
Temporal logics in AI: semantical and ontological considerations
Artificial Intelligence
A critical examination of Allen's theory of action and time
Artificial Intelligence
Moments and points in an interval-based temporal logic
Computational Intelligence
Formalizing narratives using nested circumscription
Artificial Intelligence
Maintaining knowledge about temporal intervals
Communications of the ACM
Logic for Artificial Intelligence
Logic for Artificial Intelligence
Partial information basis for agent-based collaborative dialogue
Applied Intelligence
On integrating event definition and event detection
Knowledge and Information Systems
On the combination of logical and probabilistic models for information analysis
Applied Intelligence
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In this paper we present a general formalism for representing and reasoning with temporal information, event and change. The temporal framework is a theory of time that takes both points and interval as temporal primitives and where the base logic is that of Kleene's three-valued logic. Thus, we can avoid the Divided Instant Problem (DIP). We present a three-valued based Temporal First-Order Nonmonotonic Logic (TFONL) that employs an explicit representation of time and events. We may embody default logic into TFONL, which takes into consideration the frame, qualification and ramification problems.