Temporal Specification Optimisation for the Event Calculus

Temporal pattern matching tasks require the detection of situations of interest based on streams of symbolic events. The Run-Time Event Calculus (RTEC) is a formal framework that represents situations of interest as time-varying properties called 'fluents'. Temporal patterns often express 'Boolean combinations' of situations; RTEC features two types of fluents that may model such patterns: 'simple' and 'statically determined'. A simple fluent representation, however, is exponentially larger and more expensive to reason with than the corresponding statically determined fluent one. We formally identify the class of simple fluent definitions that can be translated into statically determined fluent definitions. Moreover, we present a compiler for the translation, and a reproducible empirical evaluation on real applications.

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Journal
Proceedings of the AAAI Conference on Artificial Intelligence
Published
2025-04-11
DOI
https://doi.org/10.1609/aaai.v39i14.33653
Primary Topic
Distributed systems and fault tolerance
Type
article
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article

Temporal Specification Optimisation for the Event Calculus

Periklis Mantenoglou, Alexander Artikis
Proceedings of the AAAI Conference on Artificial Intelligence
Distributed systems and fault tolerance
article

Temporal Specification Optimisation for the Event Calculus

Periklis Mantenoglou, Alexander Artikis
article en

Abstract

Temporal pattern matching tasks require the detection of situations of interest based on streams of symbolic events. The Run-Time Event Calculus (RTEC) is a formal framework that represents situations of interest as time-varying properties called 'fluents'. Temporal patterns often express 'Boolean combinations' of situations; RTEC features two types of fluents that may model such patterns: 'simple' and 'statically determined'. A simple fluent representation, however, is exponentially larger and more expensive to reason with than the corresponding statically determined fluent one. We formally identify the class of simple fluent definitions that can be translated into statically determined fluent definitions. Moreover, we present a compiler for the translation, and a reproducible empirical evaluation on real applications.

Proceedings of the AAAI Conference on Artificial IntelligenceVol. 39(14)
National Centre of Scientific Research "Demokritos" (GR)
Openalex Percentile: Top 74%
Distributed systems and fault tolerance
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Temporal Specification Optimisation for the Event Calculus — Periklis Mantenoglou, Alexander Artikis · Proceedings of the AAAI Conference on Artificial Intelligence (2025) | TGRS Research Map | TGRS