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Produktbild: Heuristics

Heuristics The Foundations of Adaptive Behavior

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

01.12.2015

Verlag

Oxford University Press

Seitenzahl

882

Maße (L/B/H)

25,4/17,8/4,7 cm

Gewicht

1623 g

Sprache

Englisch

ISBN

978-0-19-049462-9

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

01.12.2015

Verlag

Oxford University Press

Seitenzahl

882

Maße (L/B/H)

25,4/17,8/4,7 cm

Gewicht

1623 g

Sprache

Englisch

ISBN

978-0-19-049462-9

Herstelleradresse

Libri GmbH
Europaallee 1
36244 Bad Hersfeld
DE

Email: gpsr@libri.de

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  • Produktbild: Heuristics

    • Introduction

    • List of Contributors

    • Appetizer

    • 1. Homo heuristicus: Why Biased Minds Make Better Inferences.

    • Gerd Gigerenzer, and Henry Brighton

    • Part I: Theory

    • Opening the adaptive toolbox

    • 2. Reasoning the Fast and Frugal Way: Models of Bounded Rationality.

    • Gerd Gigerenzer, and Daniel G. Goldstein

    • 3. Models of Ecological Rationality: The Recognition Heuristic.

    • Daniel Goldstein and Gerd Gigerenzer

    • 4. How Forgetting Aids Heuristic Inference.

    • Lael J. Schooler and R. Hertwig

    • 5. Simple Heuristics and Rules of Thumb: Where Psychologists and Behavioral Biologists Might Meet.

    • John M.C. Hutchinson and Gerd Gigerenzer

    • 6. Naive and Yet Enlightened: From Natural Frequencies to Fast and Frugal Decision Trees.

    • Laura Martignon, Oliver Vitouch, Masinori Takezawa, and Malcolm R. Forster

    • 7. The Priority Heuristic: Making Choices without Trade-Offs.

    • Eduard Brandstätter, Gerd Gigerenzer, and Ralph Hertwig

    • 8. One-Reason Decision making: Modeling Violations of Expected Utility Theory.

    • Konstantinos V. Katsikopoulos and Gerd Gigerenzer

    • 9. The Similarity Heuristic.

    • Daniel Read and Yael Grushka-Cockayne

    • 10. Hindsight Bias: A By-Product of Knowledge Updating?

    • Ulrich Hoffrage, Ralph Hertwig, and Gerd Gigerenzer

    • How are heuristics selected?

    • 11. SSL: A Theory of How People Learn to Select Strategies.

    • Jõrg Rieskamp and Philipp E. Otto

    • Part II: Tests

    • When do heuristics work?

    • 12. Fast, Frugal, and Fit: Simple Heuristics for Paired Comparison.

    • Laura Martignon and Ulrich Hoffrage

    • 13. Heuristic and Linear Lodels of Judgment: Matching Rules and Environments.

    • Robin M. Hogarth and Natalia Karelaia

    • 14. Categorization with Limited Resources: A Family of Simple Heuristics.

    • Laura Martignon, Konstantinos V. Katsikopoulo, and Jan K. Woike

    • 15. A Signal Detection Analysis of the Recognition Heuristic.

    • Timothy J. Pleskac

    • 16. The Relative Success of Recognition-Based Iinference in Multichoice Decisions.

    • Rachel McCloy, C. Philip Beaman, and T. Smith

    • When do people rely on one good reason?

    • 17. The Quest for Take-the-Best.

    • Arndt Bröder

    • 18. Empirical Tests of a Fast and Frugal Heuristic: Not Everyone "Takes-the-Best. "

    • Ben R. Newell, Nicola J. Weston, and David R. Shanks

    • 19. A Response-Time Approach to Comparing Generalized Rational and Take-the-Best Models of Decision Making.

    • F. Bryan Bergert and Robert M. Nosofsky

    • 20. Sequential Processing of Cues in Memory-Based Multi-Attribute Decisions.

    • Arndt Bröder and Wolfgang Gaissmaier

    • 21. Does Imitation Benefit Cue-OrderLlearning?

    • Rocio Garcia-Retamero, Masanori Takezawa, and Gerd Gigerenzer

    • 22. The Aging Decision Maker: Cognitive Aging and the Adaptive Selection of Decision Strategies.

    • Rui Mata, Lael J. Schooler, and Jörg Rieskamp

    • When do people rely on name recognition?

    • 23. On the Psychology of the Recognition Heuristic: Retrieval Primacy as a Key Determinant of its Use.

    • Thorsten Pachur and Ralph Hertwig

    • 24. The Recognition Heuristic in Memory-Based Inference: Is Recognition a Non-Compensatory Cue?

    • Thorsten Pachur, Arndt Bröder, and Julian N. Marewski

    • 25. Why You Think Milan is Larger than Modena: Neural Correlates of the Recognition Heuristic.

    • Kirsten G. Volz, Lael J. Schooler, Ricarda I. Schubotz, Markus Raab, Gerd Gigerenzer, and D. Yves von Cramon

    • 26. Fluency Heuristic: A Model of How the Mind Exploits a By-Product of Information Retrieval.

    • Ralph Hertwig, Stefan M. Herzog, Lael J. Schooler, and Torsten Reimer

    • 27. The Use of Recognition in Group Decision Making.

    • Torsten Reimer and Konstantinos V. Katsikopoulos

    • Part III: Heuristics in the Wild

    • Crime

    • 28. Psychological Models of Professional Decision Making.

    • Mandeep K. Dhami

    • 29. Geographic Profiling: The Fast, Frugal, and Accurate Way.

    • Brent Snook, Paul J. Taylor, and Craig Bennel

    • 30. Take-the-Best in Expert-Novice Decision Strategies for Residential Burglary.

    • Rocio Garcia-Retamero and Mandeep K. Dhami

    • Sports

    • 31. Predicting Wimbledon Tennis Results 2005 by Player Name Recognition.

    • Benjamin Scheibehenne and Arndt Bröder

    • 32. Heuristics in Sports That Help Ws Win.

    • W.M. Bennis and Torsten Pachur

    • 33. How Dogs Navigate to Catch Frisbees.

    • Dennis M. Shaffer, Scott M. Krauchunas, Marianna Eddy, and Michael K. McBeath

    • Investment

    • 34. Optimal versus Naïve Diversification: How Inefficient in the 1/N Portfolio Strategy?

    • Victor DeMiguel, Lorenzo Garlappi, and Raman Uppal

    • 35. Parental Investment: How an Equity Motive Can Produce Inequality.

    • Ralph Hertwig, Jennifer Nerissa Davis, and Frank J. Sulloway

    • 36. Instant Customer Base analysis: Managerial Heuristics Often "Get It Right. "

    • Markus Wübben and Florian v. Wangenheim

    • Everyday things

    • 37. Green Defaults: Information Presentation and Pro-Environmental Behavior.

    • Daniel Pichert and Konstantinois V. Katsikopoulos

    • 38. "If... ": Satisficing Algorithms for Mapping Conditional Statements onto Social Domains.

    • Alejandro López-Rousseau and Timothy Ketelaar

    • 39. Applying One-Reason Decision Making: The Prioritisation of Literature Searches

    • Michael D. Lee, Natasha Loughlin, and Ingrid B. Lundberg

    • 40. Aggregate Age-at-Marriage Patterns from Individual Mate-Search Heuristics.

    • Peter M. Todd, Francesco C. Billari, and Jorge Simão

    • References

    • Name index

    • Subject index