Using brain imaging to track problem solving in a complex state space

  title={Using brain imaging to track problem solving in a complex state space},
  author={John R. Anderson and Jon M. Fincham and Darryl W. Schneider and Jian Yang},
This paper describes how behavioral and imaging data can be combined with a Hidden Markov Model (HMM) to track participants' trajectories through a complex state space. Participants completed a problem-solving variant of a memory game that involved 625 distinct states, 24 operators, and an astronomical number of paths through the state space. Three sources of information were used for classification purposes. First, an Imperfect Memory Model was used to estimate transition probabilities for the… CONTINUE READING


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Neural imaging to track mental states while using an intelligent tutoring system.

Proceedings of the National Academy of Sciences of the United States of America • 2010
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