Optimal Learning Patterns for Creativity Generation in a Field
Author(s) -
Jonathan S. Feinstein
Publication year - 2010
Publication title -
ssrn electronic journal
Language(s) - English
Resource type - Journals
ISSN - 1556-5068
DOI - 10.2139/ssrn.1631286
Subject(s) - creativity , field (mathematics) , artificial intelligence , computer science , psychology , mathematics education , mathematics , social psychology , pure mathematics
I present a model of optimal learning for creativity generation in a field. The field is defined as a knowledge structure. A creative contribution is based on combining two previously unconnected elements, generating a new element. Individuals may possess private information/intuition about new combinations. Individuals contribute the maximum creative contribution they are able to produce based on the set of elements they have learned. In equilibrium individuals learn different elements, with some degree of overlap, effectively pursuing distinct creative interests. The model illustrates a general approach for analyzing the creative development of fields and, in a broader sense, cultural innovation.
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