61,60 €*
Versandkostenfrei per Post / DHL
Aktuell nicht verfügbar
limitless knowledge, and all of eternity in which to ponder choices. To understand decisions in the real world, we need a different, more psychologically plausible notion of rationality, and this book provides it. It is about fast and frugal heuristics--simple rules for making decisions when time is
pressing and deep thought an unaffordable luxury. These heuristics can enable both living organisms and artificial systems to make smart choices, classifications, and predictions by employing bounded rationality.
But when and how can such fast and frugal heuristics work? Can judgments based simply on one good reason be as accurate as those based on many reasons? Could less knowledge even lead to systematically better predictions than more knowledge? Simple Heuristics explores these questions, developing
computational models of heuristics and testing them through experiments and analyses. It shows how fast and frugal heuristics can produce adaptive decisions in situations as varied as choosing a mate, dividing resources among offspring, predicting high school drop out rates, and playing the stock
market.
As an interdisciplinary work that is both useful and engaging, this book will appeal to a wide audience. It is ideal for researchers in cognitive psychology, evolutionary psychology, and cognitive science, as well as in economics and artificial intelligence. It will also inspire anyoneinterested
in simply making good decisions.
limitless knowledge, and all of eternity in which to ponder choices. To understand decisions in the real world, we need a different, more psychologically plausible notion of rationality, and this book provides it. It is about fast and frugal heuristics--simple rules for making decisions when time is
pressing and deep thought an unaffordable luxury. These heuristics can enable both living organisms and artificial systems to make smart choices, classifications, and predictions by employing bounded rationality.
But when and how can such fast and frugal heuristics work? Can judgments based simply on one good reason be as accurate as those based on many reasons? Could less knowledge even lead to systematically better predictions than more knowledge? Simple Heuristics explores these questions, developing
computational models of heuristics and testing them through experiments and analyses. It shows how fast and frugal heuristics can produce adaptive decisions in situations as varied as choosing a mate, dividing resources among offspring, predicting high school drop out rates, and playing the stock
market.
As an interdisciplinary work that is both useful and engaging, this book will appeal to a wide audience. It is ideal for researchers in cognitive psychology, evolutionary psychology, and cognitive science, as well as in economics and artificial intelligence. It will also inspire anyoneinterested
in simply making good decisions.
- The ABC Research Group
- I. The Research Agenda
- 1: Gerd Gigerenzer and Peter M. Todd: Fast and Frugal Heuristics: The Adaptive Toolbox
- II. Ignorance-Based Decision Making
- 2: Daniel G. Goldstein and Gerd Gigerenzer: The Recognition Heuristic: How Ignorance Makes Us Smart
- 3: Bernhard Borges et al.: Can Ignorance Beat the Stock Market?
- III. One-Reason Decision Making
- 4: Gerd Gigerenzer and Daniel G. Goldstein: Betting on One Good Reason: The Take The Best Heuristic
- 5: Jean Czerlinski, Gerd Gigerenzer, and Daniel G. Goldstein: How Good Are Simple Heuristics?
- 6: Laura Martignon and Ulrich Hoffrage: Why Does One-Reason Decision Making Work? A Case Study in Ecological Rationality
- 7: Jörg Rieskamp and Ulrich Hoffrage: When Do People Use Simple Heuristics, and How Can We Tell?
- 8: Laura Martignon and Kathryn Blackmond Laskey: Bayesian Benchmarks for Fast and Frugal Heuristics
- IV. Beyond Choice: Memory, Estimation, and Categorization
- 9: Ulrich Hoffrage and Ralph Hertwig: Hindsight Bias: A Price Worth Paying for Fast and Frugal Memory
- 10: Ralph Hertwig, Ulrich Hoffrage, and Laura Martignon: Quick Estimation: Letting the Environment Do the Work
- 11: Patricia M. Berretty, Peter M. Todd, and Laura Martignon: Categorization by Elimination: Using Few Cues to Choose
- V. Social Intelligence
- 12: Philip W. Blythe, Peter M. Todd, and Geoffrey F. Miller: How Motion Reveals Intention: Categorizing Social Interactions
- 13: Peter M. Todd and Geoffrey F. Miller: From Pride and Prejudice to Persuasion: Satisficing in Mate Search
- 14: Jennifer Nerissa Davis and Peter M. Todd: Parental Investment by Simple Decision Rules
- VI. A Look Around, A Look Back, A Look Ahead
- 15: Adam S. Goodie et al.: Demons versus Heuristics in Artificial Intelligence, Behavioral Ecology, and Economis
- 16: Peter M. Todd and Gerd Gigerenzer: What We Have Learned (So Far)
- References
- Name Index
- Subject Index
| Erscheinungsjahr: | 1999 |
|---|---|
| Fachbereich: | Angewandte Psychologie |
| Genre: | Psychologie |
| Rubrik: | Geisteswissenschaften |
| Medium: | Taschenbuch |
| Inhalt: |
XV
416 S. |
| ISBN-13: | 9780195143812 |
| ISBN-10: | 0195143817 |
| Sprache: | Englisch |
| Ausstattung / Beilage: | Paperback |
| Einband: | Kartoniert / Broschiert |
| Autor: |
Gigerenzer, Gerd
Todd, Peter M. Abc Research Group |
| Hersteller: | Oxford University Press |
| Maße: | 234 x 156 x 23 mm |
| Von/Mit: | Gerd Gigerenzer (u. a.) |
| Erscheinungsdatum: | 01.01.1999 |
| Gewicht: | 0,655 kg |
- The ABC Research Group
- I. The Research Agenda
- 1: Gerd Gigerenzer and Peter M. Todd: Fast and Frugal Heuristics: The Adaptive Toolbox
- II. Ignorance-Based Decision Making
- 2: Daniel G. Goldstein and Gerd Gigerenzer: The Recognition Heuristic: How Ignorance Makes Us Smart
- 3: Bernhard Borges et al.: Can Ignorance Beat the Stock Market?
- III. One-Reason Decision Making
- 4: Gerd Gigerenzer and Daniel G. Goldstein: Betting on One Good Reason: The Take The Best Heuristic
- 5: Jean Czerlinski, Gerd Gigerenzer, and Daniel G. Goldstein: How Good Are Simple Heuristics?
- 6: Laura Martignon and Ulrich Hoffrage: Why Does One-Reason Decision Making Work? A Case Study in Ecological Rationality
- 7: Jörg Rieskamp and Ulrich Hoffrage: When Do People Use Simple Heuristics, and How Can We Tell?
- 8: Laura Martignon and Kathryn Blackmond Laskey: Bayesian Benchmarks for Fast and Frugal Heuristics
- IV. Beyond Choice: Memory, Estimation, and Categorization
- 9: Ulrich Hoffrage and Ralph Hertwig: Hindsight Bias: A Price Worth Paying for Fast and Frugal Memory
- 10: Ralph Hertwig, Ulrich Hoffrage, and Laura Martignon: Quick Estimation: Letting the Environment Do the Work
- 11: Patricia M. Berretty, Peter M. Todd, and Laura Martignon: Categorization by Elimination: Using Few Cues to Choose
- V. Social Intelligence
- 12: Philip W. Blythe, Peter M. Todd, and Geoffrey F. Miller: How Motion Reveals Intention: Categorizing Social Interactions
- 13: Peter M. Todd and Geoffrey F. Miller: From Pride and Prejudice to Persuasion: Satisficing in Mate Search
- 14: Jennifer Nerissa Davis and Peter M. Todd: Parental Investment by Simple Decision Rules
- VI. A Look Around, A Look Back, A Look Ahead
- 15: Adam S. Goodie et al.: Demons versus Heuristics in Artificial Intelligence, Behavioral Ecology, and Economis
- 16: Peter M. Todd and Gerd Gigerenzer: What We Have Learned (So Far)
- References
- Name Index
- Subject Index
| Erscheinungsjahr: | 1999 |
|---|---|
| Fachbereich: | Angewandte Psychologie |
| Genre: | Psychologie |
| Rubrik: | Geisteswissenschaften |
| Medium: | Taschenbuch |
| Inhalt: |
XV
416 S. |
| ISBN-13: | 9780195143812 |
| ISBN-10: | 0195143817 |
| Sprache: | Englisch |
| Ausstattung / Beilage: | Paperback |
| Einband: | Kartoniert / Broschiert |
| Autor: |
Gigerenzer, Gerd
Todd, Peter M. Abc Research Group |
| Hersteller: | Oxford University Press |
| Maße: | 234 x 156 x 23 mm |
| Von/Mit: | Gerd Gigerenzer (u. a.) |
| Erscheinungsdatum: | 01.01.1999 |
| Gewicht: | 0,655 kg |
Ähnliche Produkte
Lieferzeit 1-2 Werktage
Lieferzeit 2-4 Werktage
Aktuell nicht verfügbar
Lieferzeit 1-2 Wochen
Lieferzeit 1-2 Wochen
Aktuell nicht verfügbar
Aktuell nicht verfügbar
Lieferzeit 1-2 Wochen
Aktuell nicht verfügbar