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Analysis and synthesis with a three component inferential system: Augmenting the explanatory scope of conceptual spaces
Södertörns högskola, Institutionen för naturvetenskap, miljö och teknik, Medieteknik.ORCID-id: 0000-0002-2531-0860
University of Helsinki, Helsinki, Finland.
2017 (Engelska)Ingår i: 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, s. 124-137Konferensbidrag, Publicerat paper (Refereegranskat)
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.

Ort, förlag, år, upplaga, sidor
2017. s. 124-137
Serie
CEUR Workshop Proceedings, E-ISSN 1613-0073 ; 1895
Nyckelord [en]
Abduction, Analysis, Conceptual spaces, Deduction, Knowledge construction, Ontospaces, Perspectival spaces, Perspectivism, Pragmatism, Synthesis
Nationell ämneskategori
Data- och informationsvetenskap Matematisk analys
Identifikatorer
URN: urn:nbn:se:sh:diva-33521Scopus ID: 2-s2.0-85029149143OAI: oai:DiVA.org:sh-33521DiVA, id: diva2:1146073
Konferens
4th International Workshop on Artificial Intelligence and Cognition, New York, July 16-17, 2016.
Tillgänglig från: 2017-10-02 Skapad: 2017-10-02 Senast uppdaterad: 2021-02-11Bibliografiskt granskad

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

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Kaipainen, Mauri

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