Sampling in Judgment and Decision Making
Herausgeber: Denrell, Jerker; Juslin, Peter; Fiedler, Klaus
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Sampling in Judgment and Decision Making
Herausgeber: Denrell, Jerker; Juslin, Peter; Fiedler, Klaus
- Broschiertes Buch
A summary of recent developments in sampling approaches to decision making through the perspectives of many of the leading researchers in the field. Readership includes students in psychology, philosophy, behavioral economics and finance, and organizational behavior.
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A summary of recent developments in sampling approaches to decision making through the perspectives of many of the leading researchers in the field. Readership includes students in psychology, philosophy, behavioral economics and finance, and organizational behavior.
Produktdetails
- Produktdetails
- Verlag: Cambridge University Press
- Seitenzahl: 520
- Erscheinungstermin: 15. Juni 2023
- Englisch
- Abmessung: 152mm x 230mm x 33mm
- Gewicht: 840g
- ISBN-13: 9781009009867
- ISBN-10: 1009009869
- Artikelnr.: 66224215
- Verlag: Cambridge University Press
- Seitenzahl: 520
- Erscheinungstermin: 15. Juni 2023
- Englisch
- Abmessung: 152mm x 230mm x 33mm
- Gewicht: 840g
- ISBN-13: 9781009009867
- ISBN-10: 1009009869
- Artikelnr.: 66224215
1. The theoretical beauty and fertility of sampling approaches: a
historical and meta-theoretical review Klaus Fiedler, Peter Juslin and
Jerker Denrell; 2. Homo ordinalus and sampling models: the past, present,
and future decision by sampling Gordon D. A. Brown and Lukasz Walasek; 3.
In decisions from experience what you see is up to your sampling of the
world Timothy J. Pleskac and Ralph Hertwig; 4. The hot stove effect Jerker
Denrell and Gaël Le Mens; 5. The J/DM separation paradox and the reliance
on small samples hypothesis Ido Erev and Ori Plonsky; 6. Sampling as
preparedness in evaluative learning Mandy Hütter and Zachary Adolph Niese;
7. The dog that didn't bark: Bayesian approaches to reasoning Brett K.
Hayes, Saoirse Connor Desai, Keith Ransom and Charles Kemp; 8. Unpacking
intuitive and analytica memory sampling in multiple-cue judgment August
Collsiöö, Joakim Sundh and Peter Juslin; 9. Biased preferences through
exploitation Chris Harris and Ruud Custers; 10. Evaluative consequences of
sampling distinct information Hans Alves, Alex Koch, and Christian
Unkelbach; 11. Information sampling in contingency learning: sampling
strategies and their consequences for (pseudo-)contingency Franziska M.
Bott and Thorsten Meiser; 12. The collective hot stove effect Gaël Le Mens,
Balázs Kovác, Judith Avrahami, and Yaakov Kareev; 13. Sequential decisions
from sampling: inductive generation of stopping decisions using
instance-based learning theory Cleotilde Gonzales and Palvi Aggarwal; 14.
Thurstonian uncertainty in self-determined judgment and decision making
Johannes Prager, Klaus Fiedler, and Linda McCaughey; 15. The information
cost-benefit trade-off as a sampling problem in information search Linda
McCaughey, Johannes Prager, and Klaus Fiedler; 16. Heuristic social
sampling Thorsten Pachur and Christin Schulze; 17. Social sampling for
judgments and predictions of societal trends Henrik Olsson, Mirta Galesic
and Wändi Bruine de Bruin; 18. Group-motivated sampling: from skewed
experiences to biased evaluations Yrian Derreumaux, Robin Bergh, Marcus
Lindskog and Brent Hughes; 19. Opinion homogenization and polarization:
three sampling models Elizaveta Konovalova and Gaël Le Mens; 20. An
introduction to psychologically plausible sampling schemes for
approximating Bayesian inference Jian-Qiao Zhu, Nick Chater, Pablo
León-Villagrá, Jake Spicer, Joakim Sundh and Adam Sanborn; 21.
Approximating Bayesian inference through internal sampling Joakim Sundh,
Adam Sanborn, Jian-Qiao Zhu, Jake Spicer, Pablo León-Villagrá and Nick
Chater; 22. Sampling data, beliefs, and actions Erik Brockbank, Cameron
Holdaway, Daniel Acosta-Kane, and Edward Vul.
historical and meta-theoretical review Klaus Fiedler, Peter Juslin and
Jerker Denrell; 2. Homo ordinalus and sampling models: the past, present,
and future decision by sampling Gordon D. A. Brown and Lukasz Walasek; 3.
In decisions from experience what you see is up to your sampling of the
world Timothy J. Pleskac and Ralph Hertwig; 4. The hot stove effect Jerker
Denrell and Gaël Le Mens; 5. The J/DM separation paradox and the reliance
on small samples hypothesis Ido Erev and Ori Plonsky; 6. Sampling as
preparedness in evaluative learning Mandy Hütter and Zachary Adolph Niese;
7. The dog that didn't bark: Bayesian approaches to reasoning Brett K.
Hayes, Saoirse Connor Desai, Keith Ransom and Charles Kemp; 8. Unpacking
intuitive and analytica memory sampling in multiple-cue judgment August
Collsiöö, Joakim Sundh and Peter Juslin; 9. Biased preferences through
exploitation Chris Harris and Ruud Custers; 10. Evaluative consequences of
sampling distinct information Hans Alves, Alex Koch, and Christian
Unkelbach; 11. Information sampling in contingency learning: sampling
strategies and their consequences for (pseudo-)contingency Franziska M.
Bott and Thorsten Meiser; 12. The collective hot stove effect Gaël Le Mens,
Balázs Kovác, Judith Avrahami, and Yaakov Kareev; 13. Sequential decisions
from sampling: inductive generation of stopping decisions using
instance-based learning theory Cleotilde Gonzales and Palvi Aggarwal; 14.
Thurstonian uncertainty in self-determined judgment and decision making
Johannes Prager, Klaus Fiedler, and Linda McCaughey; 15. The information
cost-benefit trade-off as a sampling problem in information search Linda
McCaughey, Johannes Prager, and Klaus Fiedler; 16. Heuristic social
sampling Thorsten Pachur and Christin Schulze; 17. Social sampling for
judgments and predictions of societal trends Henrik Olsson, Mirta Galesic
and Wändi Bruine de Bruin; 18. Group-motivated sampling: from skewed
experiences to biased evaluations Yrian Derreumaux, Robin Bergh, Marcus
Lindskog and Brent Hughes; 19. Opinion homogenization and polarization:
three sampling models Elizaveta Konovalova and Gaël Le Mens; 20. An
introduction to psychologically plausible sampling schemes for
approximating Bayesian inference Jian-Qiao Zhu, Nick Chater, Pablo
León-Villagrá, Jake Spicer, Joakim Sundh and Adam Sanborn; 21.
Approximating Bayesian inference through internal sampling Joakim Sundh,
Adam Sanborn, Jian-Qiao Zhu, Jake Spicer, Pablo León-Villagrá and Nick
Chater; 22. Sampling data, beliefs, and actions Erik Brockbank, Cameron
Holdaway, Daniel Acosta-Kane, and Edward Vul.
1. The theoretical beauty and fertility of sampling approaches: a
historical and meta-theoretical review Klaus Fiedler, Peter Juslin and
Jerker Denrell; 2. Homo ordinalus and sampling models: the past, present,
and future decision by sampling Gordon D. A. Brown and Lukasz Walasek; 3.
In decisions from experience what you see is up to your sampling of the
world Timothy J. Pleskac and Ralph Hertwig; 4. The hot stove effect Jerker
Denrell and Gaël Le Mens; 5. The J/DM separation paradox and the reliance
on small samples hypothesis Ido Erev and Ori Plonsky; 6. Sampling as
preparedness in evaluative learning Mandy Hütter and Zachary Adolph Niese;
7. The dog that didn't bark: Bayesian approaches to reasoning Brett K.
Hayes, Saoirse Connor Desai, Keith Ransom and Charles Kemp; 8. Unpacking
intuitive and analytica memory sampling in multiple-cue judgment August
Collsiöö, Joakim Sundh and Peter Juslin; 9. Biased preferences through
exploitation Chris Harris and Ruud Custers; 10. Evaluative consequences of
sampling distinct information Hans Alves, Alex Koch, and Christian
Unkelbach; 11. Information sampling in contingency learning: sampling
strategies and their consequences for (pseudo-)contingency Franziska M.
Bott and Thorsten Meiser; 12. The collective hot stove effect Gaël Le Mens,
Balázs Kovác, Judith Avrahami, and Yaakov Kareev; 13. Sequential decisions
from sampling: inductive generation of stopping decisions using
instance-based learning theory Cleotilde Gonzales and Palvi Aggarwal; 14.
Thurstonian uncertainty in self-determined judgment and decision making
Johannes Prager, Klaus Fiedler, and Linda McCaughey; 15. The information
cost-benefit trade-off as a sampling problem in information search Linda
McCaughey, Johannes Prager, and Klaus Fiedler; 16. Heuristic social
sampling Thorsten Pachur and Christin Schulze; 17. Social sampling for
judgments and predictions of societal trends Henrik Olsson, Mirta Galesic
and Wändi Bruine de Bruin; 18. Group-motivated sampling: from skewed
experiences to biased evaluations Yrian Derreumaux, Robin Bergh, Marcus
Lindskog and Brent Hughes; 19. Opinion homogenization and polarization:
three sampling models Elizaveta Konovalova and Gaël Le Mens; 20. An
introduction to psychologically plausible sampling schemes for
approximating Bayesian inference Jian-Qiao Zhu, Nick Chater, Pablo
León-Villagrá, Jake Spicer, Joakim Sundh and Adam Sanborn; 21.
Approximating Bayesian inference through internal sampling Joakim Sundh,
Adam Sanborn, Jian-Qiao Zhu, Jake Spicer, Pablo León-Villagrá and Nick
Chater; 22. Sampling data, beliefs, and actions Erik Brockbank, Cameron
Holdaway, Daniel Acosta-Kane, and Edward Vul.
historical and meta-theoretical review Klaus Fiedler, Peter Juslin and
Jerker Denrell; 2. Homo ordinalus and sampling models: the past, present,
and future decision by sampling Gordon D. A. Brown and Lukasz Walasek; 3.
In decisions from experience what you see is up to your sampling of the
world Timothy J. Pleskac and Ralph Hertwig; 4. The hot stove effect Jerker
Denrell and Gaël Le Mens; 5. The J/DM separation paradox and the reliance
on small samples hypothesis Ido Erev and Ori Plonsky; 6. Sampling as
preparedness in evaluative learning Mandy Hütter and Zachary Adolph Niese;
7. The dog that didn't bark: Bayesian approaches to reasoning Brett K.
Hayes, Saoirse Connor Desai, Keith Ransom and Charles Kemp; 8. Unpacking
intuitive and analytica memory sampling in multiple-cue judgment August
Collsiöö, Joakim Sundh and Peter Juslin; 9. Biased preferences through
exploitation Chris Harris and Ruud Custers; 10. Evaluative consequences of
sampling distinct information Hans Alves, Alex Koch, and Christian
Unkelbach; 11. Information sampling in contingency learning: sampling
strategies and their consequences for (pseudo-)contingency Franziska M.
Bott and Thorsten Meiser; 12. The collective hot stove effect Gaël Le Mens,
Balázs Kovác, Judith Avrahami, and Yaakov Kareev; 13. Sequential decisions
from sampling: inductive generation of stopping decisions using
instance-based learning theory Cleotilde Gonzales and Palvi Aggarwal; 14.
Thurstonian uncertainty in self-determined judgment and decision making
Johannes Prager, Klaus Fiedler, and Linda McCaughey; 15. The information
cost-benefit trade-off as a sampling problem in information search Linda
McCaughey, Johannes Prager, and Klaus Fiedler; 16. Heuristic social
sampling Thorsten Pachur and Christin Schulze; 17. Social sampling for
judgments and predictions of societal trends Henrik Olsson, Mirta Galesic
and Wändi Bruine de Bruin; 18. Group-motivated sampling: from skewed
experiences to biased evaluations Yrian Derreumaux, Robin Bergh, Marcus
Lindskog and Brent Hughes; 19. Opinion homogenization and polarization:
three sampling models Elizaveta Konovalova and Gaël Le Mens; 20. An
introduction to psychologically plausible sampling schemes for
approximating Bayesian inference Jian-Qiao Zhu, Nick Chater, Pablo
León-Villagrá, Jake Spicer, Joakim Sundh and Adam Sanborn; 21.
Approximating Bayesian inference through internal sampling Joakim Sundh,
Adam Sanborn, Jian-Qiao Zhu, Jake Spicer, Pablo León-Villagrá and Nick
Chater; 22. Sampling data, beliefs, and actions Erik Brockbank, Cameron
Holdaway, Daniel Acosta-Kane, and Edward Vul.