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Relational Thinking Styles and Natural Intelligence

Book 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.

Table of Contents

  1. Cover
  2. Title Page
  3. Copyright Page
  4. Foreword
  5. Preface
    1. OVERVIEW
    2. RELATIONAL THINKING STYLES AND NATURAL INTELLIGENCE
    3. THE STUDY OF NATURAL INTELLIGENCE
    4. HOW THIS BOOK IS ORGANIZED
    5. CONCLUSION
  6. Acknowledgment
  7. Chapter 1: Definitions of Terms
    1. ABSTRACT
    2. INTRODUCTION
    3. BACKGROUND
    4. DEFINITIONS OF TERMS
    5. CONCLUSION
  8. Chapter 2: Why Understanding Thinking Styles Matters
    1. ABSTRACT
    2. INTRODUCTION
    3. BACKGROUND
    4. WHY THINKING STYLES MATTER
    5. CONCLUSION
  9. Chapter 3: Structure of the Relational Thinking Styles Model
    1. ABSTRACT
    2. INTRODUCTION
    3. BACKGROUND
    4. THE THEORETICAL MODEL OF RTS
    5. CONCLUSION
  10. Chapter 4: Assessing Inference Patterns
    1. ABSTRACT
    2. INTRODUCTION
    3. BACKGROUND
    4. APPLICATION AND INTERPRETATION OF THE DNV
    5. CONCLUSION
    6. APPENDIX
  11. Chapter 5: Algorithms for Determining Thinking Styles
    1. ABSTRACT
    2. INTRODUCTION
    3. BACKGROUND
    4. INFERENCING ALGORITHMS
    5. CONCLUSION
  12. Chapter 6: Some Variables for Computationally Modeling RTS
    1. ABSTRACT
    2. INTRODUCTION
    3. BACKGROUND
    4. COMPUTATIONAL MODELING OF RTS: THREE MAIN VARIABLES
    5. CONCLUSION
  13. Chapter 7: Computationally Modeling Inference Patterns
    1. ABSTRACT
    2. INTRODUCTION
    3. BACKGROUND
    4. TWO WAYS OF MODELING INFERENCING STYLES
    5. CONCLUSION
  14. Chapter 8: Implications and Applications of Relational Thinking Styles
    1. ABSTRACT
    2. INTRODUCTION
    3. BACKGROUND
    4. IMPLICATIONS AND APPLICATIONS OF RTS
    5. CONCLUSION
  15. Chapter 9: Phenomenology
    1. ABSTRACT
    2. INTRODUCTION
    3. BACKGROUND
    4. THE QUALITATIVE CORE OF REASONING
    5. CONCLUSION
  16. Chapter 10: Peirce’s Normative Sciences
    1. ABSTRACT
    2. INTRODUCTION
    3. BACKGROUND
    4. PEIRCE’S NORMATIVE SCIENCES
    5. CONCLUSION
  17. Chapter 11: The Dilemma of Defining Abduction
    1. ABSTRACT
    2. INTRODUCTION
    3. BACKGROUND
    4. DISTINGUISHING ABDUCTION FROM INDUCTION
    5. CONCLUSION
  18. Chapter 12: Creative Abduction
    1. ABSTRACT
    2. INTRODUCTION
    3. BACKGROUND
    4. CREATIVE ABDUCTION
    5. CONCLUSION
  19. Compilation of References
  20. About the Authors