Temporal Probabilistic Logic Programs: State and Revision
Zoran Majkic

TL;DR
This paper introduces a new semantics for Temporal Probabilistic Logic Programs that models temporal uncertainty with intervals and probability distributions, extending possible world semantics to handle valid-time indeterminacy.
Contribution
It proposes a novel semantics for TP Logic Programs incorporating time intervals and probability, extending existing probabilistic logic programming frameworks.
Findings
Defines a new syntax for PT-programs with explicit time variables
Extends possible world semantics to temporal probabilistic logic
Provides a coherent framework for modeling temporal uncertainty
Abstract
There are numerous applications where we have to deal with temporal uncertainty associated with events. The Temporal Probabilistic (TP) Logic Programs should provide support for valid-time indeterminacy of events, by proposing the concept of an indeterminate instant, that is, an interval of time-points (event's time-window) with an associated, lower and upper, probability distribution. In particular, we propose the new semantics, for the TP Logic Programs of Dekhtyar and Subrahmanian. Our semantics, based on the possible world semantics is a generalization of the possible world semantics for (non temporal) Probabilistic Logic Programming, and we define the new syntax for PT-programs, with time variable explicitly represented in all atoms, and show how the standard role of Herbrand interpretations used as possible worlds for probability distributions is coherently extended to Temporal…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsLogic, Reasoning, and Knowledge · Semantic Web and Ontologies · Bayesian Modeling and Causal Inference
