5. regret
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REGRET
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Regret: a cognitively enriched emotion embodying a feeling of responsibility fornegative outcomes of choices
Regret involves interactions between rational thinking (counterfactual reasoningabout alternative courses of action) and emotional ones (pain, feeling ofresponsibility for making the wrong choice)
WHATISREGRET?
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Early evidence: orbito-frontal cortex damaged subjets dont experience regret
How to assess the role of regret?
Two conditions:
1.no-choice condition (follow: a computer chooses for you)2.choice condition (choose)
Choice among lotteries with different feedbackconditions:
1.partial feedback: only the outcomes of the chosen lottery are shown
2.complete feedback: the outcome of both selected and unselected gamblesare made available to the subject
A NEUROIMAGINGSTUDYOFREGRET(CORICELLIETAL. 2005)
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EXPERIMENTALRESULTS
Subject heart rate is significantly higher in choose trials!
Wins/losses are reflected in variations of the ventral striatum (related toreward processing) only in the choose condition
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EXPERIMENTALRESULTS
In partial feedback conditions, brain activity is correlated to differences
between obtained and un-obtained outcomes of the selected lottery(disappointment)
In complete feedback, brain activity is correlated to differences between
outcomes of the selected lottery and the outcomes of the unselected one
(regret)
Orbito-frontal cortex discriminates between levels of regret/relief!
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REGRETANDEXPERIENCE
The proportion of regret-avoiding choices increases over
time with the cumulative experience of regret.
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THEORETICALATTEMPTSTOEXPLAINREGRET
Loomes and Sugden (1982): Regret theory
A utilitarian alternative to prospect theory
Preserves a rational flavor while accounting for most common EU
violations.
Preserves the independence property but does not require transitivity.
Basic idea: when choosing between two alternatives, individuals
anticipate regret for missed opportunities.
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REGRETTHEORY (1/2)
Novelty
Does not attempt at justifying observed violations Argues in favour of new framework able to explain them
Set up
Finite set of n possible states of the world (j) Each state probability pj
Individuals choose between actions A
Each A is a n-tuple of consequences x
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REGRETTHEORY (2/2)
Modified expected utility function
1. Choiceless utility2. Rejoice/regret utility
1. Choiceless utility
Independent of choice Used to define utility of consequences given states
2. Rejoice/regret
Determined by the difference in the choiceless utility ofconsequence given choice of chosen action (what is) and
of alternative possible options (what could have been)
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1. CHOICELESSUTILITY
Name comes from the fact that it is the utility one
would derive from a consequences without having
chosen it
Notation: choiceless utility of choosing action Ai over
action Ak, when state j occurs is
Modified utility of choosing Ai is
Assigns a real-valued index
iff
Difference between mijk and cij -> feeling of regret and
rejoice (see point 2)
Individuals choose maximizing the expected modifiedutility
),( kjijk
ij ccMm
n
j
k
ijj
k
i mpE1
ijc
ij
k
ij cm kjij cc
General
formulation of
the model
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2. REGRET/REJOICEFUNCTION
Difference between mijk and cij -> feeling of regret and
rejoice, in other words comparison between what itisand what could have been
Regret /rejoice function
R strictly increasing, 3-times differentiable with R(0)=0
Individuals use this function to try and anticipate the
utility of different choices
Individuals will prefer Ai to Ak when
)(kjijij
k
ij
ccRcm
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ANILLUSTRATIVEEXAMPLE
Consider three gambles A ,B, C defined over 3
possible states 1,2, 3.
Assume the decision maker tries to minimize the
regret he may feel
Let us look at pairwise comparisons
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ANILLUSTRATIVEEXAMPLE
State 1 (p=0.4) State 2 (p=0.3) State 3 (p=0.3)
A 10 3 3B 7.5 7.5 1
State 1 (p=0.4) State 2 (p=0.3) State 3 (p=0.3)
B 7.5 7.5 1
C 5 5 5
State 1 (p=0.4) State 2 (p=0.3) State 3 (p=0.3)
C 5 5 5
A 10 3 3
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ANILLUSTRATIVEEXAMPLE
State 1 (p=0.4) State 2 (p=0.3) State 3 (p=0.3)
A 10 3 3B 7.5 7.5 1
State 1 (p=0.4) State 2 (p=0.3) State 3 (p=0.3)
B 7.5 7.5 1
C 5 5 5
State 1 (p=0.4) State 2 (p=0.3) State 3 (p=0.3)
C 5 5 5
A 10 3 3
Largest scope for
regret in state 2
-> choose B
Largest scope for
regret in state 3-> choose C
Largest scope for
regret in state 1
-> choose A
Overall preference pattern emerging
B preferred to A, C preferred to B, BUT A preferred to C!?!
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ILLUSTRATIVEEXAMPLE (FORMALLY)
Looking at scope for maximum regret is a shortcut
Same results would be obtained applying the formula
A vs B -> 0.4(10-7.5+2.5-2.5)+0.3(3-7.5-4.5-4.5)+0.3(3-1+2-2)= -1.05
Choose B!
B vs C -> 0.4(7.5-5+2.5-2.5)+0.3(7.5-5+2.5-2.5)+0.3(1-5-4-4)= -1.85
Choose C!
C vs A -> 0.4(5-10-5-5)+0.3(5-3+2-2)+0.3(5-3+2-2)= -3.6 Choose A!
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IMPLICATIONSOFREGRETTHEORY
Assumes statistical independence between prospects
Write a unique matrix of state-contigent consequences
Able to incorporate common ration and common
consequence effects
Not violations of axiomatic properties but implications ofthe model
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ISSUESWITH REGRET THEORY
Preference relation is not necessarily transitive Complicates the picture when we deal with more than 2
options no preference ordering
Probabilities of the states of the world have to be known
Theory works on assumptions of unobservable functionsrather than behavioral axiom!
BUT represents the first challenge to the idea that
conventional axioms represent the only acceptable basis
of choice under uncertainty The first to discuss regret/rejoice in decision making
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SUGGESTEDREADINGS
Loomes, Sugden, Regret theory: an alternative theoryof rational choice under uncertainty, The Economic
Journal Vol.92, No. 368 (1982)
Corricelli et al, Regret and its avoidance: a
neuroimaging study of choice behavior. NaturalNeurosciences. 2005 Sep;8(9):1255-62. Epub 2005
Aug 7.