AIJul 24, 2023

Past-present temporal programs over finite traces

arXiv:2307.12620v2h-index: 51
Originality Synthesis-oriented
AI Analysis

This work provides a computational framework for dynamic domains, but it is incremental as it focuses on a specific subclass and extension of existing methods.

The paper tackles the problem of modeling dynamic applications by studying the past-present syntactic subclass of temporal equilibrium logic over finite traces, which ensures past independence from the future, and extends completion and loop formulas to capture temporal stable models using an LTLf expression.

Extensions of Answer Set Programming with language constructs from temporal logics, such as temporal equilibrium logic over finite traces (TELf), provide an expressive computational framework for modeling dynamic applications. In this paper, we study the so-called past-present syntactic subclass, which consists of a set of logic programming rules whose body references to the past and head to the present. Such restriction ensures that the past remains independent of the future, which is the case in most dynamic domains. We extend the definitions of completion and loop formulas to the case of past-present formulas, which allows capturing the temporal stable models of a set of past-present temporal programs by means of an LTLf expression.

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