Relational Thinking Styles and Natural Intelligence: Assessing Inference Patterns for Computational Modeling: Assessing Inference Patterns for Computational Modeling

Chiasson, Phyllis

IGI Global, Apr 30, 2012 - Psychology - 281 pages

The science of intelligence has created a plethora of theories and measurements, which have various applications of both computational, social, and managerial significance.

Relational Thinking Styles and Natural Intelligence: Assessing Inference Patterns for Computational Modeling explores a specific set of intelligence theories, unifying and quantifying to create a verifiable model of various inferencing habits. Relational Thinking Styles suggests that the inferencing patterns described and demonstrated by this model may provide a platform from which to examine and integrate various aspects of natural intelligence and how these are expressed. This research provides valuable information for businesses, social services, and any decision-making process involving intelligence assessment.

Contents

• Definitions of Terms: 1
• Why Understanding Thinking Styles Matters: 22
• Structure of the Relational Thinking Styles Model: 43
• Assessing Inference Patterns: 62
• Algorithms for Determining Thinking Styles: 85
• Some Variables for Computationally Modeling RTS: 106
• Computationally Modeling Inference Patterns: 124
• Implications and Applications of Relational Thinking Styles: 142
• Phenomenology: 161
• Peirces Normative Sciences: 180
• The Dilemma of Defining Abduction: 199
• Creative Abduction: 220
• Compilation of References: 241
• About the Contributors: 248
• Index: 249

About the author

Phyllis Chiasson taught speech and language arts at the secondary level in Tucson, Arizona until 1980; she later taught public speaking and critical thinking at Peninsula College, in Port Townsend, WA, where she and her husband now reside. She earned her degrees (BA, 1968 and MEd, 1974) at the University of Arizona. She co-founded the Davis-Nelson consultancy firm in 1986, for which she is principal investigator. In addition to their research, she and others at Davis-Nelson apply RTS and the DNV assessment in a wide variety of contexts. She is a sustaining member of The Charles Peirce Society and a member of the Society for Advancement of American Philosophy.

Jayne Tristan teaches Critical Thinking, Science, Technology and Society, and International Studies at University of North Carolina at Charlotte since 1998. She earned her doctorate in Philosophy at Southern Illinois University at Carbondale (1996). She is a member of Philosophy of Education Society and the Society for Advancement of American Philosophy, and is working on John Dewey's theory of inquiry. [Editor]

Bibliographic information

• Title: Relational Thinking Styles and Natural Intelligence: Assessing Inference Patterns for Computational Modeling: Assessing Inference Patterns for Computational Modeling; Premier reference source
• Editor: Chiasson, Phyllis
• Edition: illustrated
• Publisher: IGI Global, 2012
• ISBN: 1466609737, 9781466609730
• Length: 281 pages
• Subjects: Computers / Data Modeling & Design; Computers / General; Psychology / Cognitive Psychology & Cognition