Algorithmic aspects of theory blending

Autor(en): Martinez, M.
Krumnack, U. 
Smaill, A.
Besold, T.R.
Abdel-Fattah, A.M.H.
Schmidt, M.
Gust, H.
Kühnberger, K.-U. 
Guhe, M.
Pease, A.
Herausgeber: Aranda-Corral, G.A.
Calmet, J.
Martin-Mateos, F.J.
Stichwörter: Artificial intelligence; Blending, Algorithmic aspects; Cognitive faculty; Cognitive mechanisms; Cognitive science; Logic-based frameworks; Theoretical foundations; Worked-out examples, Computation theory
Erscheinungsdatum: 2014
Herausgeber: Springer Verlag
Enthalten in: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Band: 8884
Startseite: 180
Seitenende: 192
Zusammenfassung: 
In Cognitive Science, conceptual blending has been proposed as an important cognitive mechanism that facilitates the creation of new concepts and ideas by constrained combination of available knowledge. It thereby provides a possible theoretical foundation for modeling high-level cognitive faculties such as the ability to understand, learn, and create new concepts and theories. This paper describes a logic-based framework which allows a formal treatment of theory blending, discusses algorithmic aspects of blending within the framework, and provides an illustrating worked out example from mathematics. © Springer International Publishing Switzerland 2014.
Beschreibung: 
Conference of 12th International Conference on Artificial Intelligence and Symbolic Computation, AISC 2014 ; Conference Date: 11 December 2014 Through 13 December 2014; Conference Code:111959
ISBN: 9783319137698
ISSN: 03029743
DOI: 10.1007/978-3-319-13770-4_16
Externe URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84917740139&doi=10.1007%2f978-3-319-13770-4_16&partnerID=40&md5=2a6659f6a0fa03a246bb40bb7641ad78

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