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Problem Solving Zygmunt Pizlo (University of California, Irvine)

Problem Solving By Zygmunt Pizlo (University of California, Irvine)

Problem Solving by Zygmunt Pizlo (University of California, Irvine)


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Summary

Problem solving is one of the most fundamental cognitive functions, and now there is finally a textbook for cognitive psychology and cognitive neuroscience courses that is dedicated to investigating how it works. It brings together insights from psychological research on human subjects with useful formal models from computer science.

Problem Solving Summary

Problem Solving: Cognitive Mechanisms and Formal Models by Zygmunt Pizlo (University of California, Irvine)

Intelligent mental representations of physical, cognitive and social environments allow humans to navigate enormous search spaces, whose sizes vastly exceed the number of neurons in the human brain. This allows us to solve a wide range of problems, such as the Traveling Salesperson Problem, insight problems, as well as mathematics and physics problems. As an area of research, problem solving has steadily grown over time. Researchers in Artificial Intelligence have been formulating theories of problem solving for the last 70 years. Psychologists, on the other hand, have focused their efforts on documenting the observed behavior of subjects solving problems. This book represents the first effort to merge the behavioral results of human subjects with formal models of the causative cognitive mechanisms. The first coursebook to deal exclusively with the topic, it provides a main text for elective courses and a supplementary text for courses such as cognitive psychology and neuroscience.

About Zygmunt Pizlo (University of California, Irvine)

Zygmunt Pizlo is Professor and Falmagne Endowed Chair in Mathematical Psychology in the Department of Cognitive Sciences, University of California at Irvine. He is the author of 3D Shape: Its Unique Place in Visual Perception (2008) and co-author of Making a Machine That Sees Like Us (2014).

Table of Contents

Preface; 1. Problem solving definition of the main concepts; 2. Animal problem solving: innovative use of tools; 3. Modern research on the human's ability to solve problems that have large spaces; 4. The exponential pyramid representation that compensates for the exponentially-large problem spaces; 5. Heuristic function, distance and direction in solving problems; 6. Insight and creative thinking; 7. Inference in perception. Perceptual representation: a rejoinder to insight; 8. Cognitive inference. Mental representations; 9. Theory of Mind (ToM); 10. Solving problems in physics and mathematics; 11. Summary and conclusions.

Additional information

NPB9781009205566
9781009205566
1009205560
Problem Solving: Cognitive Mechanisms and Formal Models by Zygmunt Pizlo (University of California, Irvine)
New
Hardback
Cambridge University Press
2022-07-07
250
N/A
Book picture is for illustrative purposes only, actual binding, cover or edition may vary.
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