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Image schemas in computational conceptual blending
Institute of Knowledge and Language Engineering, Otto-von-Guericke University of Magdeburg, Germany.ORCID iD: 0000-0001-8308-8906
KRDB Research Centre for Knowledge and Data, Free University of Bozen-Bolzano, Italy.
Institute of Knowledge and Language Engineering, Otto-von-Guericke University of Magdeburg, Germany.
2016 (English)In: Cognitive Systems Research, ISSN 2214-4366, E-ISSN 1389-0417, Vol. 39, p. 42-57Article in journal (Refereed) Published
Abstract [en]

In cognitive science, image schemas are identified as fundamental patterns of cognition. They are schematic prelinguistic conceptualisations of events and serve as conceptual building blocks for concepts. This paper proposes that image schemas can play an important role in computational concept invention, namely within the computational realisation of conceptual blending. We propose to build a library of formalised image schemas, and illustrate how they can guide the search for a base space in the concept invention work flow. Their schematic nature is captured by the idea of organising image schemas into families. Formally, they are represented as heterogeneous, interlinked theories.

Place, publisher, year, edition, pages
Elsevier, 2016. Vol. 39, p. 42-57
Keywords [en]
Computational creativity, Concept invention, Conceptual blending, Embodiment, Image schemas, Spatial cognition, Artificial intelligence, Cognitive systems, Patents and inventions, Building blockes, Cognitive science, Computational creativities, Fundamental patterns, Work-flows, Computation theory, algorithm, Article, cognition, computer language, concept formation, heuristics, human, image schema, information processing, knowledge, linguistics, logic, mathematical model, natural language processing, priority journal
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:hj:diva-65654DOI: 10.1016/j.cogsys.2015.12.010ISI: 000372430400005Scopus ID: 2-s2.0-84960510860OAI: oai:DiVA.org:hj-65654DiVA, id: diva2:1884210
Available from: 2024-07-15 Created: 2024-07-15 Last updated: 2024-07-15Bibliographically approved

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Hedblom, Maria M.

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