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"There is a bookshelf labeled 'Popular Science' in the Geisel Library on the University of California, San Diego campus that provided inspiration for writing this book. I admire those authors who can explain science to a general audience and I continue their tradition in this book on cognitive skills. My objective as a professor emeritus of cognitive psychology is to write a book that does not require specific background knowledge to understand it. I therefore define terms when discussing research and include personal anecdotes that I hope inspire readers to think of related experiences in their own life. I also occasionally include problems to encourage reflection"--

 

Table of Contents

 

Preface vii

Introduction xi

PART I ACQUIRING KNOWLEDGE

 

1 Comprehension

3 (12)

2 Action

15 (12)

3 Categorization

27 (11)

4 Abstraction

38 (13)

PART II ORGANIZING KNOWLEDGE

 

5 Matrices

51 (9)

6 Networks

60 (9)

7 Hierarchies

69 (12)

PART III REASONING

 

8 Visuospatial Reasoning

81 (11)

9 Imperfect Knowledge

92 (9)

10 Reasoning Strategies

101 (16)

PART IV PROBLEM-SOLVING

 

11 Problems

117 (12)

12 Design

129 (13)

13 Dynamics

142 (13)

PART V ARTIFICIAL INTELLIGENCE

 

14 Data Sciences

155 (15)

15 Explainable AI

170 (10)

16 Information Sciences

180 (14)

17 General AI

194 (15)

PART VI EDUCATION

 

18 Complex Systems

209 (12)

19 Computational and Mathematical Thinking

221 (11)

20 Continuing Education

232 (9)

Notes 241 (16)

References 257 (14)

Index 271