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{ "item_title" : "Relational Thinking Styles and Natural Intelligence", "item_author" : [" Phyllis Chiasson", "Jayne Tristan "], "item_description" : "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.", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/1/46/660/972/1466609729_b.jpg", "price_data" : { "retail_price" : "195.00", "online_price" : "195.00", "our_price" : "195.00", "club_price" : "195.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Relational Thinking Styles and Natural Intelligence|Phyllis Chiasson

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

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Overview

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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Details

  • ISBN-13: 9781466609723
  • ISBN-10: 1466609729
  • Publisher: Information Science Reference
  • Publish Date: April 2012
  • Dimensions: 11 x 8.5 x 0.69 inches
  • Shipping Weight: 2.08 pounds
  • Page Count: 282

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