The Proper Treatment of Events

Lambalgen, Michiel van; Hamm, Fritz

doi:10.1002/9780470759257

Cited by 77 publications

(4 citation statements)

References 59 publications

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“…Recently, logic-based techniques have been successfully applied to several fields of Artificial Intelligence, including among others event recognition from security cameras (Skarlatidis et al . 2015a,b), robot location estimation (Belle and Levesque 2018), understanding of tenses (Van Lambalgen and Hamm 2008), natural language processing (Nadkarni et al . 2011), probabilistic diagnosis (Lee and Wang 2018) and intention recogntion (Acciaro et al .…”

Section: Probabilistic Reasoning About Actionsmentioning

confidence: 99%

An Application of a Runtime Epistemic Probabilistic Event Calculus to Decision-making in e-Health Systems

D’Asaro¹,

Raggioli²,

Malek³

et al. 2022

Theory and Practice of Logic Programming

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We present and discuss a runtime architecture that integrates sensorial data and classifiers with a logic-based decision-making system in the context of an e-Health system for the rehabilitation of children with neuromotor disorders. In this application, children perform a rehabilitation task in the form of games. The main aim of the system is to derive a set of parameters the child’s current level of cognitive and behavioral performance (e.g., engagement, attention, task accuracy) from the available sensors and classifiers (e.g., eye trackers, motion sensors, emotion recognition techniques) and take decisions accordingly. These decisions are typically aimed at improving the child’s performance by triggering appropriate re-engagement stimuli when their attention is low, by changing the game or making it more difficult when the child is losing interest in the task as it is too easy. Alongside state-of-the-art techniques for emotion recognition and head pose estimation, we use a runtime variant of a probabilistic and epistemic logic programming dialect of the Event Calculus, known as the Epistemic Probabilistic Event Calculus. In particular, the probabilistic component of this symbolic framework allows for a natural interface with the machine learning techniques. We overview the architecture and its components, and show some of its characteristics through a discussion of a running example and experiments.

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Section: Probabilistic Reasoning About Actionsmentioning

confidence: 99%

An Application of a Runtime Epistemic Probabilistic Event Calculus to Decision-making in e-Health Systems

D’Asaro¹,

Raggioli²,

Malek³

et al. 2022

Theory and Practice of Logic Programming

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“…Recall that Activities in the force-theoretic framework involve what McCawley (1976) and van Lambalgen and Hamm (2005), e.g. call "continuous causation," where a result situation occurs at more or less the same time as the initial situation, perhaps with a brief initial lag.…”

Section: Agents and Causers As Sources Of Forcesmentioning

confidence: 99%

A force-theoretic framework for event structure

Copley¹,

Harley

2015

Linguist and Philos

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“…Telicity is a compositional interpretation of the temporal profile of events influenced by multiple elements in a sentence, including verbs and noun phrases—as in (1) (Bach, 1986; Champollion, 2017; De Swart, 1998; Jackendoff, 1991, 1997; Kamp & Reyle, 1993; Krifka, 1989; Moens & Steedman, 1988; Pustejovsky & Bouillon, 1995; Talmy, 1978; van Lambalgen & Hamm, 2005; Verkuyl, 1972, 1993) but also adverbial phrases, verb particles, prefixes, prepositional phrases, and even contextual elements (Brinton, 1985; Filip, 1993; van Hout, 1996; Jackendoff, 1997; Moens & Steedman, 1987; Pustejovsky, 1991, 1995). Sometimes, the addition of linguistic material can change the canonical interpretation of a sentence (Brennan & Pylkkänen, 2008; Jackendoff, 1997; Moens & Steedman, 1987; Piñango, Zurif, & Jackendoff, 1999; Pustejovsky, 1991, 1995; Todorova, Straub, Badecker, & Frank, 2000): while (1a) is a telic sentence, the interpretation shifts to an atelic one when a durative adverbial is introduced as in (3a).…”

Section: Introductionmentioning

confidence: 99%

Aspectual Processing Shifts Visual Event Apprehension

Vurgun,

Ji,

Papafragou

2024

Cognitive Science

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What is the relationship between language and event cognition? Past work has suggested that linguistic/aspectual distinctions encoding the internal temporal profile of events map onto nonlinguistic event representations. Here, we use a novel visual detection task to directly test the hypothesis that processing telic versus atelic sentences (e.g., “Ebony folded a napkin in 10 seconds” vs. “Ebony did some folding for 10 seconds”) can influence whether the very same visual event is processed as containing distinct temporal stages including a well‐defined endpoint or lacking such structure, respectively. In two experiments, we show that processing (a)telicity in language shifts how people later construe the temporal structure of identical visual stimuli. We conclude that event construals are malleable representations that can align with the linguistic framing of events.

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The Proper Treatment of Events

Cited by 77 publications

References 59 publications

An Application of a Runtime Epistemic Probabilistic Event Calculus to Decision-making in e-Health Systems

An Application of a Runtime Epistemic Probabilistic Event Calculus to Decision-making in e-Health Systems

A force-theoretic framework for event structure

Aspectual Processing Shifts Visual Event Apprehension

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