Presentation heuristics
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Transcript of Presentation heuristics
CONTENT
Introduction Heuristic Types
Gaze heuristicRecognition heuristicSocial heuristicHeuristics Based on Reasons
Take the best heuristicTallying heuristic
Hindsight biasConclusion
Heuristic is a rule:
A rule is not necessarily a heuristic, unless it embodies 3 qualities
Heuristics Versus Rules
1-Heuristics exploit evolved capacities
2-Heuristics exploit structures of environments
3- heuristics are distinct from “as if” optimization
models
What is Unbounded Rationality ?
Unbounded Rationality
infinite amount of time
infinite amount of time
all relevan
t information
all relevan
t information
In models of Bounded
Rationality (Simon’s term):
how do humans who
have little time & knowledge
behave?
3 Programs associated with bounded rationality
1
•The study of optimization under constraints.
2
•The study of cognitive illusion.
3
•The study of fast & frugal heuristic.
Simon’s vision of bounded rationality Simon: Human rational behavior is
structure of task
environment
capabilities of the actor
Gaze heuristic PRABOBOLA Initial Distance Initial Velocity Projection Angle Projection Speed Direction of The Wind
No such robots exist yet!
RUNNING SPEED
ANGLE OF GAZE REMAINS CONSTANT
NOT COMPUTE THE POINT AT WHICH THE BALL WILL LAND, BUT HE WILL BE
THERE
Gaze heuristic
FAST and FRUGAL
Recognition heuristic
GERMAN
Which city has more inhabitant?
33 %
66 %
SAN ANTONIO
SAN DIEGO 100 %
0 %
AMERICAN
Ecological Rationality:
Correlation between recognition & criteria
Recognition validity:
α = R / ( R + W )
The less-is-more effect
)1(
)1(
2
1
)1(
)1)((
)1(
)(2
NN
nn
NN
nNnN
NN
nNnc
N: number of objectsn: number of recognized objectsα: recognition validityβ: knowledge validity
Ecological Rationality of
do-what-the-majority do Heuristics
Similar environments
Stable environments
Noisy
environments
Take The Best heuristic (TTB)
ONE-REASON DECISION MAKINGSEARCH BY VALIDITY
Validities
Cues School A School B
0.9 reputation + -
0.6 distance - +
0.8 students - +
ONE-REASON STOPPING RULE
Validities
Cues School A School B
0.9 reputation + -
0.6 distance - +
0.8 students - +
Random
search
Stop after
searching m cues
Tallying rull
Tallying heuristic
Ecological Rationality of Take The Best and Tallying
Take The BestNoncompensatory
Tallying Compensatory
Hindsight Bias
Which has more cholesterol , cake or pie?
Cues Original Feedback Recall
Saturated fat (80%) cake? Pie "cake" cake> pie
Calories (70%) cake> pie
Protein (60%)
Choice cake cake
Confidence 70% 80%
Stop search
Stop search
Robustness
•the ability to make predictions about the future or new events
fitness
•the ability to fit the past or already known data
THE SAME BUILDING BLOCKS CAN CONSTRUCT NEW HEURISTICS TO
DEAL WITH NEW TASKS
The building Blocks of Heuristics
Heuristics In HospitalST SEGMENT CHANGES
CCU
YES
CHIEF COMPLAINT OF CHEST PAIN?
NO
REGULAR NURSING
BED
NO
ANY OTHER FACTOR?
YES
CCUREGULAR NURSING
BED
YESNO
CONCLUSION Heuristics is a land of rationality
that is different from familiar one.
Heuristics models.
Different Heuristics in different environment.
Heuristics is not just these …