Analysis and synthesis with a three component inferential system: Augmenting the explanatory scope of conceptual spaces
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, p. 124-137Conference 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. p. 124-137
Series
CEUR Workshop Proceedings, E-ISSN 1613-0073 ; 1895
Keywords [en]
Abduction, Analysis, Conceptual spaces, Deduction, Knowledge construction, Ontospaces, Perspectival spaces, Perspectivism, Pragmatism, Synthesis
National Category
Computer and Information Sciences Mathematical Analysis
Identifiers
URN: urn:nbn:se:sh:diva-33521Scopus ID: 2-s2.0-85029149143OAI: oai:DiVA.org:sh-33521DiVA, id: diva2:1146073
Conference
4th International Workshop on Artificial Intelligence and Cognition, New York, July 16-17, 2016.
2017-10-022017-10-022025-10-07Bibliographically approved