title: A Rational Analysis of Alternating Search and Reflection Strategies in Problem Solving creator: Taatgen, Niels A. subject: Cognitive Psychology subject: Dynamical Systems subject: Machine Learning subject: Developmental Psychology description: 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. publisher: Mahwah, NJ: Erlbaum contributor: Shafto, Michael G. contributor: Langley, Pat date: 1997 type: Conference Paper type: NonPeerReviewed format: application/pdf identifier: http://cogprints.org/684/3/strat.pdf identifier: Taatgen, Niels A. (1997) A Rational Analysis of Alternating Search and Reflection Strategies in Problem Solving. [Conference Paper] relation: http://cogprints.org/684/