How to Solve It: Modern Heuristics by Zbigniew Michalewicz and David B. Fogel (Hardcover - Dec 8, 2004)
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Hardcover: 554 pages
Publisher: Springer; 2nd ed. Revised and Extended edition (December 8, 2004)
Language: English
ISBN-10: 3540224947
ISBN-13: 978-3540224945
Product Dimensions: 9.4 x 6 x 1.5 inches
Shipping Weight: 2.2 pounds
http://www. amazon .com/How-Solve-Heuristics-Zbigniew-Micha鈥?br>
Product Description
This book is the only source that provides comprehensive, current, and correct information on problem solving using modern heuristics. It covers classic methods of optimization, including dynamic programming, the simplex method, and gradient techniques, as well as recent innovations such as simulated annealing, tabu search, and evolutionary computation. Integrated into the discourse is a series of problems and puzzles to challenge the reader. The book is written in a lively, engaging style and is intended for students and practitioners alike. Anyone who reads and understands the material in the book will be armed with the most powerful problem solving tools currently known.
This second edition contains two new chapters, one on coevolutionary systems and one on multicriterial decision-making. Also some new puzzles are added and various subchapters are revised.
Book Info
Provides comprehensive, current, and correct information on problem solving using modern heuristics. Covers classic methods of optimization, including dynamic programming, the simplex method, and gradient techniques, as well as recent innovations such as simulated annealing, tabu search, and evolutionary computation. DLC: Problem solving. --This text refers to an out of print or unavailable edition of this title.
---------------------------------------鈥?br>Applications of Heuristics and Biases to Social Issues (Social Psychological Applications To Social Issues) by Linda Heath, R. Scott Tindale, John Edwards, and Emil J. Posavac (Hardcover - Sep 30, 1994)
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Hardcover: 368 pages
Publisher: Springer; 1 edition (September 30, 1994)
Language: English
ISBN-10: 0306447509
ISBN-13: 978-0306447501
Product Dimensions: 9.1 x 5.9 x 1.5 inches
Shipping Weight: 1.5 pounds
http://www. amazon .com/Applications-Heuristics-Biases-Soci鈥?br>
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Heuristics and Biases: The Psychology of Intuitive Judgment by Thomas Gilovich, Dale Griffin, and Daniel Kahneman (Paperback - Jul 8, 2002)
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Paperback: 874 pages
Publisher: Cambridge University Press; 1 edition (July 8, 2002)
Language: English
ISBN-10: 0521796792
ISBN-13: 978-0521796798
Product Dimensions: 9.1 x 6.1 x 1.3 inches
Cass Sunstein, University of Chicago Law Review
This is a state-of-the-art treatment of the literature full of implications for law and policy. --This text refers to the Hardcover edition.
Review
Heuristics and Biases: The Psychology of Intuitive Judgment; offers a massive, state-of-the-art treatment of the literature, supplementing a similar book published two decades ago.. .This is an impressive book, full of implications for law and policy." Cass Sunstein, University of Chicago Law School
"...the book should serve well as a reference work for researchers in cognitive science and as a textbook for advanced courses in that difficult topic. Philosophers interested in cognitive science will also wish to consult it." Metapsychology Online Review
"Heuristics and Biases: The Psychology of Intuitive Judgment is a scholarly treat, one that is sure to shape the perspectives of another generation of researchers, teachers, and graduate students. The book will serve as a welcome refresher course for some readers and a strong introduction to an important research perspective for others." Journal of Social and Clinical PsychologyWhat's a popular science version of "Heuristics and Biases"?
This question is relate to a larger branch of Psychology called Epistemology.
From Wikipedia:
Epistemology or theory of knowledge is a branch of philosophy concerned with the nature and scope of knowledge.[1] The term was introduced into English by the Scottish philosopher James Frederick Ferrier (1808-1864).[2]
Much of the debate in this field has focused on analyzing the nature of knowledge and how it relates to similar notions such as truth, belief, and justification. It also deals with the means of production of knowledge, as well as skepticism about different knowledge claims. In other words, epistemology primarily addresses the following questions: "What is knowledge?", "How is knowledge acquired?", and "What do people know?"
Once you get a grip on the above, then heuristics and biases are:
From: http://www.acceleratingfuture.com/michae鈥?/a>
When we humans use abstract reasoning to determine the solution to a given problem, say, opening a door that is stuck for some unknown reason, we are not reasoning using the real door. Our brains don't have enough memory to fit the precise physical description of a real door. Instead, we use representations, which are often trillions or quadrillions of times simpler than their physical counterparts. But they work, at least well enough to solve simple problems. Once you have a mental representation of a door, you can start reasoning about which classes of object or event have the potential to make one stuck or unstuck, for example.
Human brains use a strict set of compression schemes for abstracting critical features of incoming sensory data. These compression schemes are not perfect, and often make errors - as we can see in studies of optical illusions. Many of these errors are invisible to introspection, as they are swept under the rug by higher levels of cognition.
Relative to most animals, humans receive a massive amount of incoming sensory data - terabytes worth. Most is immediately discarded, ignored, or abstracted away by neurological machinery. The surviving data, an incredibly small percent, will be converted into symbolic format; connected to previous experiences and stored concepts in the complex associative network that is the human brain.
When new sensory data is abstracted, converted into symbolic format, and archived in long-term memory, it is subject to certain biasing effects. Biases also operate when the symbols are invoked and manipulated for cognitive operations.
The results are contradictory beliefs, anchoring effects, and a whole zoo of psychological "optical illusions". "Anchoring effects", for example, are a class of robust psychological phenomena showing that people adjust insufficiently for the implications of incoming information. We form beliefs around an anchor, and additional incoming data must fight against the intertia of the anchor, even when it is objectively irrelevant to the judgement at hand.
I wish more people would be knowledgeable on this subject.
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