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What’s cracking?: How image schema combinations can model conceptualisations of events
Conceptual and Cognitive Modelling Research Group (CORE), KRDB Research Centre for Knowledge and Data, Faculty of Computer Science, Free University of Bozen-Bolzano, Italy.ORCID iD: 0000-0001-8308-8906
Conceptual and Cognitive Modelling Research Group (CORE), KRDB Research Centre for Knowledge and Data, Faculty of Computer Science, Free University of Bozen-Bolzano, Italy.
Conceptual and Cognitive Modelling Research Group (CORE), KRDB Research Centre for Knowledge and Data, Faculty of Computer Science, Free University of Bozen-Bolzano, Italy.
Conceptual and Cognitive Modelling Research Group (CORE), KRDB Research Centre for Knowledge and Data, Faculty of Computer Science, Free University of Bozen-Bolzano, Italy.
2019 (English)In: Proceedings of TriCoLore 2018: The 7th International Workshop on Computational Creativity, Concept Invention, and General Intelligence (C3GI 2018) / [ed] Oliver Kutz & Maria M. Hedblom, CEUR-WS , 2019Conference paper, Published paper (Refereed)
Abstract [en]

Image schema profiles are described as clusters of spatiotemporal relationships learned from embodied experiences and function as the gathered conceptual information for event concepts. Looking at such profiles allows not only to model aspects of human conceptualisation but also offers a method to approach event conceptualisation for more formal purposes. This article investigates this research program by looking closer at how humans conceptualise events and specifies three combination methods of image schema profiles that each offer different aspects for concept construction. As a proof of concept, we present an in-depth analysis of the classic commonsense reasoning problem of ‘Cracking an Egg’ as a demonstration of how these profiles can be used in formal knowledge representation. This is formalised using the Image Schema Logic, ISLM, a combined logic targeted at the spatiotemporal relationships present in image schemas.

Place, publisher, year, edition, pages
CEUR-WS , 2019.
Series
CEUR Workshop Proceedings, E-ISSN 1613-0073 ; 2347
Keywords [en]
Event segmentation, Events, Image schemas, Knowledge representation, Computation theory, Image segmentation, Patents and inventions, Robotics, Combination method, Commonsense reasoning, Embodied experience, Formal knowledge representations, Spatio-temporal relationships, Formal concept analysis
National Category
Computer graphics and computer vision
Identifiers
URN: urn:nbn:se:hj:diva-65644Scopus ID: 2-s2.0-85064437915OAI: oai:DiVA.org:hj-65644DiVA, id: diva2:1884559
Conference
7th International Workshop on Computational Creativity, Concept Invention, and General Intelligence (C3GI 2018), Bozen-Bolzano, Italy, December 13-15, 2018
Available from: 2024-07-17 Created: 2024-07-17 Last updated: 2025-02-07Bibliographically approved

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