Towards a computational- and algorithmic-level account of concept blending using analogies and amalgams

Concept blending – a cognitive process which allows for the combination of certain elements (and their relations) from originally distinct conceptual spaces into a new unified space combining these previously separate elements, and enables reasoning and inference over the combination – is taken as a...

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Main Authors: Tarek R. Besold, Kai-Uwe Kühnberger, Enric Plaza
Format: Article
Language:English
Published: Taylor & Francis Group 2017-10-01
Series:Connection Science
Subjects:
Online Access:http://dx.doi.org/10.1080/09540091.2017.1326463
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author Tarek R. Besold
Kai-Uwe Kühnberger
Enric Plaza
author_facet Tarek R. Besold
Kai-Uwe Kühnberger
Enric Plaza
author_sort Tarek R. Besold
collection DOAJ
description Concept blending – a cognitive process which allows for the combination of certain elements (and their relations) from originally distinct conceptual spaces into a new unified space combining these previously separate elements, and enables reasoning and inference over the combination – is taken as a key element of creative thought and combinatorial creativity. In this article, we summarise our work towards the development of a computational-level and algorithmic-level account of concept blending, combining approaches from computational analogy-making and case-based reasoning (CBR). We present the theoretical background, as well as an algorithmic proposal integrating higher-order anti-unification matching and generalisation from analogy with amalgams from CBR. The feasibility of the approach is then exemplified in two case studies.
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spelling doaj-art-2d8307fabfbc48c4b2aa0bf00d3be46c2025-08-20T02:24:04ZengTaylor & Francis GroupConnection Science0954-00911360-04942017-10-0129438741310.1080/09540091.2017.13264631326463Towards a computational- and algorithmic-level account of concept blending using analogies and amalgamsTarek R. Besold0Kai-Uwe Kühnberger1Enric Plaza2University of BremenUniversity of OsnabrückIIIA, Artificial Intelligence Research Institute, CSICConcept blending – a cognitive process which allows for the combination of certain elements (and their relations) from originally distinct conceptual spaces into a new unified space combining these previously separate elements, and enables reasoning and inference over the combination – is taken as a key element of creative thought and combinatorial creativity. In this article, we summarise our work towards the development of a computational-level and algorithmic-level account of concept blending, combining approaches from computational analogy-making and case-based reasoning (CBR). We present the theoretical background, as well as an algorithmic proposal integrating higher-order anti-unification matching and generalisation from analogy with amalgams from CBR. The feasibility of the approach is then exemplified in two case studies.http://dx.doi.org/10.1080/09540091.2017.1326463concept blendingcognitive artificial intelligencecomputational creativityanalogyamalgams
spellingShingle Tarek R. Besold
Kai-Uwe Kühnberger
Enric Plaza
Towards a computational- and algorithmic-level account of concept blending using analogies and amalgams
Connection Science
concept blending
cognitive artificial intelligence
computational creativity
analogy
amalgams
title Towards a computational- and algorithmic-level account of concept blending using analogies and amalgams
title_full Towards a computational- and algorithmic-level account of concept blending using analogies and amalgams
title_fullStr Towards a computational- and algorithmic-level account of concept blending using analogies and amalgams
title_full_unstemmed Towards a computational- and algorithmic-level account of concept blending using analogies and amalgams
title_short Towards a computational- and algorithmic-level account of concept blending using analogies and amalgams
title_sort towards a computational and algorithmic level account of concept blending using analogies and amalgams
topic concept blending
cognitive artificial intelligence
computational creativity
analogy
amalgams
url http://dx.doi.org/10.1080/09540091.2017.1326463
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