An Event Calculus Production Rule System for Reasoning in Dynamic and Uncertain Domains

TL;DR

Cerbere is a production rule system based on Event Calculus that enables real-time causal, temporal, and epistemic reasoning in dynamic and uncertain domains, effectively modeling benchmarks and smart space applications.

Contribution

It introduces Cerbere, a novel rule-based system integrating Event Calculus for efficient online reasoning in dynamic, uncertain environments, including smart spaces.

Findings

Successfully models benchmark problems.

Effective in smart space activity recognition.

Combines logic-based and probabilistic reasoning.

Abstract

Action languages have emerged as an important field of Knowledge Representation for reasoning about change and causality in dynamic domains. This article presents Cerbere, a production system designed to perform online causal, temporal and epistemic reasoning based on the Event Calculus. The framework implements the declarative semantics of the underlying logic theories in a forward-chaining rule-based reasoning system, coupling the high expressiveness of its formalisms with the efficiency of rule-based systems. To illustrate its applicability, we present both the modeling of benchmark problems in the field, as well as its utilization in the challenging domain of smart spaces. A hybrid framework that combines logic-based with probabilistic reasoning has been developed, that aims to accommodate activity recognition and monitoring tasks in smart spaces. Under consideration in Theory and Practice of Logic Programming (TPLP)