Judgment Under Uncertainty: Heuristics and Biases
GPTKB entity
Statements (41)
Predicate | Object |
---|---|
gptkbp:instance_of |
gptkb:book
|
gptkbp:bfsLayer |
4
|
gptkbp:bfsParent |
gptkb:Daniel_Kahneman
|
gptkbp:author |
gptkb:Amos_Tversky
gptkb:Daniel_Kahneman |
gptkbp:field |
gptkb:Economist
gptkb:psychologist cognitive psychology social psychology decision theory |
gptkbp:focus |
decision making
cognitive biases |
gptkbp:impact |
economics
public policy |
gptkbp:influence |
behavioral science
|
gptkbp:influenced |
Daniel Kahneman's Nobel Prize
|
gptkbp:is_cited_in |
over 10,000
|
gptkbp:isbn |
978-0521429831
|
gptkbp:language |
English
|
gptkbp:next_edition |
first
|
gptkbp:notable_feature |
loss aversion
availability heuristic overconfidence bias anchoring representativeness heuristic |
gptkbp:page_count |
576
|
gptkbp:published_year |
gptkb:1982
|
gptkbp:publisher |
gptkb:University
|
gptkbp:related_works |
gptkb:Thinking,_Fast_and_Slow
Prospect Theory Choices, Values, and Frames |
gptkbp:user_reviews |
widely cited in academic literature
addresses implications for rationality considered a classic in the field discusses systematic errors in judgment examines heuristics in decision making highly regarded in psychology community influential in understanding human judgment part of the foundation of behavioral economics provides empirical evidence for theories used in various disciplines |