Abstract
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.
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CITATION STYLE
Schneider, S., Abdel-Fattah, A. M. H., Angerer, B., & Weber, F. (2013). Model construction in general intelligence. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7999 LNAI, pp. 109–118). https://doi.org/10.1007/978-3-642-39521-5_12
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