Relational Thinking Styles and Natural Intelligence - Assessing Inference Patterns for Computational Modeling (Hardcover)

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.

General

Imprint:	Idea Group,U.S.
Country of origin:	United States
Release date:	April 2012
Authors:	Phyllis Chiasson • Jayne Tristan
Dimensions:	279 x 216 x 18mm (L x W x T)
Format:	Hardcover - Cloth over boards
Pages:	281
ISBN-13:	978-1-4666-0972-3
Categories:	Books > Social sciences > Psychology > Cognition & cognitive psychology > General Promotions
LSN:	1-4666-0972-9
Barcode:	9781466609723

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