Relational Thinking Styles and Natural Intelligence

Assessing Inference Patterns for Computational Modeling

Nonfiction, Computers, Advanced Computing, Programming, Data Modeling & Design, Health & Well Being, Psychology, Cognitive Psychology
Cover of the book Relational Thinking Styles and Natural Intelligence by Phyllis Chiasson, Jayne Tristan, IGI Global
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Author: Phyllis Chiasson, Jayne Tristan ISBN: 9781466622562
Publisher: IGI Global Publication: April 30, 2012
Imprint: Information Science Reference Language: English
Author: Phyllis Chiasson, Jayne Tristan
ISBN: 9781466622562
Publisher: IGI Global
Publication: April 30, 2012
Imprint: Information Science Reference
Language: English
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.
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
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.

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