Literaturnachweis - Detailanzeige
Autor/inn/en | Anderson, John R.; Fincham, Jon M. |
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Titel | Discovering the Sequential Structure of Thought |
Quelle | In: Cognitive Science, 38 (2014) 2, S.322-352 (31 Seiten)
PDF als Volltext |
Sprache | englisch |
Dokumenttyp | gedruckt; online; Zeitschriftenaufsatz |
ISSN | 0364-0213 |
DOI | 10.1111/cogs.12068 |
Schlagwörter | Cognitive Structures; Pattern Recognition; Markov Processes; Cognitive Processes; Problem Solving; Novelty (Stimulus Dimension); Mathematical Applications; Planning; Responses; Computation; Difficulty Level; Time |
Abstract | Multi-voxel pattern recognition techniques combined with Hidden Markov models can be used to discover the mental states that people go through in performing a task. The combined method identifies both the mental states and how their durations vary with experimental conditions. We apply this method to a task where participants solve novel mathematical problems. We identify four states in the solution of these problems: Encoding, Planning, Solving, and Respond. The method allows us to interpret what participants are doing on individual problem-solving trials. The duration of the planning state varies on a trial-to-trial basis with novelty of the problem. The duration of solution stage similarly varies with the amount of computation needed to produce a solution once a plan is devised. The response stage similarly varies with the complexity of the answer produced. In addition, we identified a number of effects that ran counter to a prior model of the task. Thus, we were able to decompose the overall problem-solving time into estimates of its components and in way that serves to guide theory. (As Provided). |
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Erfasst von | ERIC (Education Resources Information Center), Washington, DC |
Update | 2017/4/10 |