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Analysis and synthesis with a three component inferential system: Augmenting the explanatory scope of conceptual spaces
Södertörn University, School of Natural Sciences, Technology and Environmental Studies, Media Technology.ORCID iD: 0000-0002-2531-0860
University of Helsinki, Helsinki, Finland.
2017 (English)In: Artificial Intelligence and Cognition 2016: Proceedings of the 4th International Workshop on Artificial Intelligence and Cognitionco-located with the Joint Multi-Conference on Human-Level Artificial Intelligence (HLAI 2016) / [ed] Antonio Liet; Mehul Bhatt; Alessandro Oltramari; David Vernon, 2017, 124-137 p.Conference paper, Published paper (Refereed)
Abstract [en]

The study introduces a model of analysis and synthesis, respective abductive and deductive reasoning, using the three-component inferential system, which is constituted by a perspective-relative augmentation of Gärdenfors's theory of Conceptual Spaces (CS). A general formulation of Perspective, based on our earlier work, corresponds to prioritization among property dimensions. Instead of assuming one conceptual space as in the CS, a distinction is made between the high-dimensional description of the discourse/domain termed Ontospace, and the two-dimensional perspectival space onto which a Perspectiverelative hierarchical conceptualization is projected, referred to as the Perspectival Space. In this setting, deduction is the inference of Perspective-relative conceptualization of the ontospace, while abduction is the reasoning of the Perspective that accounts for a given conceptualization of the ontospace, given in a form of a target cluster This model is articulated on an abstraction level beyond algorithmic implementation.

Place, publisher, year, edition, pages
2017. 124-137 p.
Series
CEUR Workshop Proceedings, ISSN 1613-0073 ; 1895
Keyword [en]
Abduction, Analysis, Conceptual spaces, Deduction, Knowledge construction, Ontospaces, Perspectival spaces, Perspectivism, Pragmatism, Synthesis
National Category
Computer and Information Science Mathematical Analysis
Identifiers
URN: urn:nbn:se:sh:diva-33521Scopus ID: 2-s2.0-85029149143OAI: oai:DiVA.org:sh-33521DiVA: diva2:1146073
Conference
4th International Workshop on Artificial Intelligence and Cognition, New York, July 16-17, 2016.
Available from: 2017-10-02 Created: 2017-10-02 Last updated: 2017-10-02Bibliographically approved

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Scopushttp://ceur-ws.org/Vol-1895/paper11.pdf

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Kaipainen, Mauri

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
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  • Other locale
More languages
Output format
  • html
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  • asciidoc
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