This unique volume returns in its second edition, revised and updated with the latest advances in problem solving research. It is designed to provide readers with skills that will make them better problem solvers and to give up-to-date information about the psychology of problem solving.
Professor Hayes provides students and professionals with practical, tested methods of defining, representing, and solving problems. Each discussion of the important aspects of human problem solving is supported by the most current research on the psychology problem solving.
The Complete Problem Solver, Second Edition *Valuable learning strategies; *Decision making methods; *Discussions of the nature of creativity and invention, and *A new chapter on writing.
The Complete Problem Solver utilizes numerous examples, diagrams, illustrations, and charts to help any reader become better at problem solving. See the order form for the answer to the problem below.
John R. Hayes has been a book and magazine writer and editor, an illustrator, a teacher, and a public relations executive with a number of international oil companies.
I found the clearest explanation of Bayes theorem ever in this book: Bayes theorem is just a way of maintaining the initial proportion of probabilities in light of new evidence, using the fact that the sum of probabilities is always equal to 1. So simple. I also really like the example he uses for an experiment with no control group: it is like singing to a group of babies and then drawing the conclusion that your singing must have caused the babies to grow.
To be very honest, I read a lot of well known facts to me. It was not a compelling reading, how it was nice to see the subject very well structured and a comprehensive explanation of learning, memory, and creativity for example. Good.
This book is interesting but reminds me that I am a pretty big nerd. It has a number of problems to be solved which were fun to send to friends and see who could get the answers. What I didn't expect was the theories of problem solving. This book is more like a problem solving textbook than a book of problems to be solved. I liked it and it is definitely a keeper.