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.
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Schneider, S., Abdel-Fattah, A.M.H., Angerer, B., Weber, F. (2013). Model Construction in General Intelligence. In: Kühnberger, KU., Rudolph, S., Wang, P. (eds) Artificial General Intelligence. AGI 2013. Lecture Notes in Computer Science(), vol 7999. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39521-5_12
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DOI: https://doi.org/10.1007/978-3-642-39521-5_12
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