@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.}
}

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