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Towards Constraint Temporal Answer Set Programming

Published: July 18, 2025 | arXiv ID: 2507.13958v1

By: Pedro Cabalar , Martín Diéguez , François Olivier and more

Potential Business Impact:

Helps computers understand changing things over time.

Business Areas:
Natural Language Processing Artificial Intelligence, Data and Analytics, Software

Reasoning about dynamic systems with a fine-grained temporal and numeric resolution presents significant challenges for logic-based approaches like Answer Set Programming (ASP). To address this, we introduce and elaborate upon a novel temporal and constraint-based extension of the logic of Here-and-There and its nonmonotonic equilibrium extension, representing, to the best of our knowledge, the first approach to nonmonotonic temporal reasoning with constraints specifically tailored for ASP. This expressive system is achieved by a synergistic combination of two foundational ASP extensions: the linear-time logic of Here-and-There, providing robust nonmonotonic temporal reasoning capabilities, and the logic of Here-and-There with constraints, enabling the direct integration and manipulation of numeric constraints, among others. This work establishes the foundational logical framework for tackling complex dynamic systems with high resolution within the ASP paradigm.

Page Count
19 pages

Category
Computer Science:
Artificial Intelligence