Relational Thinking Styles and Natural Intelligence: Assessing Inference Patterns for Computational Modeling: Assessing Inference Patterns for Computational Modeling
IGI Global, Apr 30, 2012 - Psychology - 281 pages
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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Definitions of Terms
Why Understanding Thinking Styles Matters
Structure of the Relational Thinking Styles Model
Assessing Inference Patterns
Algorithms for Determining Thinking Styles
Some Variables for Computationally Modeling RTS
Computationally Modeling Inference Patterns
Implications and Applications of Relational Thinking Styles