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Under the super-suit: What superheroes can reveal about inherited properties in conceptual blending
KRDB, Department of Computer Science, Free University of Bozen-Bolzano, Italy.ORCID iD: 0000-0001-8308-8906
KRDB, Department of Computer Science, Free University of Bozen-Bolzano, Italy.
KRDB, Department of Computer Science, Free University of Bozen-Bolzano, Italy.
KRDB, Department of Computer Science, Free University of Bozen-Bolzano, Italy.
2018 (English)In: Proceedings of the 9th International Conference on Computational Creativity, ICCC 2018 / [ed] François Pachet, Anna Jordanous & Carlos León, Association for Computational Creativity (ACC) , 2018, p. 216-223Conference paper, Published paper (Refereed)
Abstract [en]

Conceptual blending has been proposed as the cognitive machinery for concept generation. While computational approaches to conceptual blending have been implemented with some success, the automatic approaches still struggle to consistently produce concepts and blends that ‘make sense’ and have value. Mechanisms and optimality principles for blending have been introduced, yet their formal integration remains sparse. In this paper, we suggest to partly bypass this problem by identifying some conceptual heuristics for blending. This is done through a top-down analysis of three prototypical superheroes, an exemplary domain for conceptual blends and human imagination. We formalise the superheroes and backtrace their properties into their respective input spaces and from there map the inherited properties to cognitive theories for conceptualisation. It is our belief that computational blending systems could greatly benefit from conceptual heuristics for blending, identified in this top-down fashion. As a proof of concept of the identified superhero-blending heuristics, we blend the superhero ‘Flowerman’.

Place, publisher, year, edition, pages
Association for Computational Creativity (ACC) , 2018. p. 216-223
Keywords [en]
Artificial intelligence, Computation theory, Machinery, Automatic approaches, Blending system, Cognitive theory, Computational approach, Concept generation, Input space, Optimality principle, Proof of concept, Blending
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:hj:diva-65647Scopus ID: 2-s2.0-85087094708ISBN: 978-989-54160-0-4 (electronic)OAI: oai:DiVA.org:hj-65647DiVA, id: diva2:1884542
Conference
9th International Conference on Computational Creativity, ICCC 2018, Salamanca, Spain, 25-29 June 2018
Available from: 2024-07-17 Created: 2024-07-17 Last updated: 2024-07-17Bibliographically approved

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Hedblom, Maria M.

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