Relational thinking styles and natural intelligence [electronic resource] : assessing inference patterns for computational modeling / Phyllis Chiasson and Jayne Tristan, editors.

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Publication details: Hershey, Pa. : IGI Global (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA), 2012.Description: electronic texts (240 p.) : digital filesISBN:

9781466609730 (ebook)

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Genre/Form:

Electronic books.

Additional physical formats: No title; Print version:: No titleDDC classification:

153.4/2 23

LOC classification:

BF442 .R45 2012e

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Click here to access online

Available additional physical forms:

Also available in print.

Contents:

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.

Abstract: "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.

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eBooks

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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).