Model construction in general intelligence
| Autor(en): | Schneider, S. Abdel-Fattah, A.M.H. Angerer, B. Weber, F. |
Stichwörter: | Algorithmic structure; Concept formation; Construction process; General Intelligence; heuristic search; Inductive learning; model construction; Problem representation; Problem representation, Heuristic algorithms, Blending | Erscheinungsdatum: | 2013 | Journal: | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Volumen: | 7999 LNAI | Startseite: | 109 | Seitenende: | 118 | Zusammenfassung: | In this conceptual paper we propose a shift of perspective for parts of AI - from search to model construction. We claim that humans construct a model of a problem situation consisting of only a few, hierarchically structured elements. A model allows to selectively explore possible continuations and solutions, and for the flexible instantiation and adaptation of concepts. We underpin our claims by results from two protocol studies on problem-solving imagery and on the inductive learning of an algorithmic structure. We suggest that a fresh look into the small-scale construction processes humans execute would further ideas in categorization, analogy, concept formation, conceptual blending, and related fields of AI. © 2013 Springer-Verlag. |
Beschreibung: | Conference of 6th International Conference on Artificial General Intelligence, AGI 2013 ; Conference Date: 31 July 2013 Through 3 August 2013; Conference Code:97769 |
ISBN: | 9783642395208 | ISSN: | 03029743 | DOI: | 10.1007/978-3-642-39521-5_12 | Externe URL: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-84879944221&doi=10.1007%2f978-3-642-39521-5_12&partnerID=40&md5=760822a33d35aed0fe1182e5a05848e4 |
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