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
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.
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
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