Description |
1 online resource (240 pages) |
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 |
Summary |
"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 |
Analysis |
Basic inferencing algorithms |
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Creativity |
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Computational modeling |
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Human systems theory |
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Inference patterns |
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Intelligence modeling applications |
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Normative science |
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Reasoning classification |
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Relational thinking styles |
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Semiotic structure |
Bibliography |
Includes bibliographical references |
Notes |
Title screen (IGI Global, viewed Mar. 20, 2012) |
Subject |
Thought and thinking.
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Inference.
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Methodology.
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thinking.
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methodology.
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Inference
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Methodology
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Thought and thinking
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Form |
Electronic book
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Author |
Chiasson, Phyllis
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Tristan, Jayne, 1952-
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IGI Global.
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ISBN |
9781466609730 |
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1466609737 |
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