A logic-based calculus of events

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge (2019, background): “Many commonsense representations and inference procedures have been explored (McCarthy and Hayes, 1969; Kowalski and Sergot, 1986) and large-scale commonsense knowledge-bases have been developed (Lenat, 1995; Speer et al.”
Cognitive computing for coalition situational understanding (2017, background): “There has also been a large amount of research in KRR temporal reasoning techniques with approaches derived from the event calculus (EC) being particularly well suited to SU reasoning [14].”
Envisioning the qualitative effects of robot manipulation actions using simulation-based projections (2017, methodology): “Within this language we use a notation similar to that used in the Event Calculus(Kowalski and Sergot, 1986).”
KnowRob: A knowledge processing infrastructure for cognition-enabled robots (2013, methodology): “In knowledge representation, the field of AI research most related to this article, techniques such as the situation calculus (McCarthy and Hayes, 1969), event calculus (Kowalski and Sergot, 1986), and fluent calculus (Thielscher, 1998) were developed.”
When Old Facts Return: Re-Reads, Reverts, and the Limits of Temporal Memory (2026, unknown): “Event-based formulations provide another way to represent change explicitly (Kowalski and Sergot, 1986).”