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Restructuring partitioned knowledge: the role of recoordination in category learning
David K Sewell1, Stephan Lewandowsky
1Psychological Sciences, The University of Melbourne, Australia. dsewell@unimelb.edu.au
Cognitive Psychology
|November 5, 2010
Summary
This study provides the first empirical evidence for recoordination, a type of knowledge restructuring where people switch and reuse categorization strategies. A multiple-module model (ATRIUM) explains this phenomenon better than single-module models.
Area of Science:
- Cognitive Psychology
- Computational Neuroscience
- Machine Learning
Background:
- Knowledge restructuring involves changes in problem-solving strategies.
- Existing models differentiate between relearning (incremental updating) and recoordination (novel application of knowledge).
- Recoordination requires multiple-module models, but has lacked empirical support.
Purpose of the Study:
- To provide direct empirical evidence for recoordination in category learning.
- To compare the explanatory power of single-module (ALCOVE) and multiple-module (ATRIUM) models for knowledge restructuring.
- To investigate the role of dimensional attention in strategy shifts.
Main Methods:
- Two category learning experiments were conducted.
- Participants' ability to alternate and reinstate categorization strategies was assessed.
- Computational models (ALCOVE and ATRIUM) were used to fit the experimental data.
Main Results:
- Direct empirical evidence for recoordination was found, demonstrating fluid alternation and reinstatement of strategies.
- Single-module models (ALCOVE) did not adequately fit the observed knowledge restructuring data.
- A multiple-module model (ATRIUM) quantitatively accounted for recoordination, linking it to changes in dimensional attention.
Conclusions:
- Recoordination is a key aspect of knowledge restructuring, allowing flexible strategy use.
- Multiple-module models like ATRIUM are necessary to explain complex category learning and strategy shifts.
- Learning in complex tasks involves the strategic coordination of partial knowledge elements.
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