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@misc{cogprints684, editor = {Michael G. Shafto and Pat Langley}, title = {A Rational Analysis of Alternating Search and Reflection Strategies in Problem Solving}, author = {Niels A. Taatgen}, publisher = {Mahwah, NJ: Erlbaum}, year = {1997}, pages = {727--732}, keywords = {problem solving, insight theory, dynamical systems, ACT-R, cognitive modelling, architectures of cognition, reversal-shift learning, learning}, url = {http://cogprints.org/684/}, abstract = {In this paper two approaches to problem solving, search and reflection, are discussed, and combined in two models, both based on rational analysis (Anderson, 1990). The first model is a dynamic growth model, which shows that alternating search and reflection is a rational strategy. The second model is a model in ACT-R, which can discover and revise strategies to solve simple problems. Both models exhibit the explore-insight pattern normally attributed to insight problem solving.} }