Relational thinking styles and natural intelligence [electronic resource] : assessing inference patterns for computational modeling / Phyllis Chiasson and Jayne Tristan, editors.
Publication details: Hershey, Pa. : IGI Global (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA), 2012.Description: electronic texts (240 p.) : digital filesISBN:- 9781466609730 (ebook)
- 153.4/2 23
- BF442 .R45 2012e
- Also available in print.
eBooks
Includes bibliographical references.
1. Definitions of terms -- 2. Why understanding thinking styles matters -- 3. Structure of the relational thinking styles model -- 4. Assessing inference patterns -- 5. Algorithms for determining thinking styles -- 6. Some variables for computationally modeling RTS -- 7. Computationally modeling inference patterns -- 8. Implications and applications of relational thinking styles -- 9. Phenomenology : the qualitative core of reasoning -- 10. Peirce's normative sciences -- 11. The dilemma of defining abduction -- 12. Creative abduction.
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"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"--Provided by publisher.
Also available in print.
Mode of access: World Wide Web.
Description based on title screen (IGI Global, viewed March 20, 2012).