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Algorithms for Determining Thinking Styles

Algorithms for Determining Thinking Styles

Copyright: © 2012 |Pages: 21
ISBN13: 9781466609723|ISBN10: 1466609729|EISBN13: 9781466609730
DOI: 10.4018/978-1-4666-0972-3.ch005
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MLA

Phyllis Chiasson and Jayne Tristan. "Algorithms for Determining Thinking Styles." Relational Thinking Styles and Natural Intelligence: Assessing Inference Patterns for Computational Modeling, IGI Global, 2012, pp.85-105. https://doi.org/10.4018/978-1-4666-0972-3.ch005

APA

P. Chiasson & J. Tristan (2012). Algorithms for Determining Thinking Styles. IGI Global. https://doi.org/10.4018/978-1-4666-0972-3.ch005

Chicago

Phyllis Chiasson and Jayne Tristan. "Algorithms for Determining Thinking Styles." In Relational Thinking Styles and Natural Intelligence: Assessing Inference Patterns for Computational Modeling. Hershey, PA: IGI Global, 2012. https://doi.org/10.4018/978-1-4666-0972-3.ch005

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Abstract

The algorithms used to identify thinking style patterns derive from Davis’s theoretical construct of RTS. As such, we can demonstrate that they are capturing predicable patterns of human behavior. These patterns are based upon the priority and combination of ways in which individuals of a particular style habitually engage the order and direction of thoughts (sequence), confront options (intensity), and use time (duration). These categories are engaged by means of action patterns comprised of simple or complex repeating, and random or deliberate varying. Identifying habitual inferencing patterns may lead to a better understanding of decision-making and other fields of inquiry.

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