Title: Neuroeconomics of Games and Decisions* Colin Camerer, Caltech
1Neuroeconomics of Games and Decisions Colin
Camerer, Caltech
- Neuroeconomics
- Grounding micro-economics in details of neural
activity - Part of behavioral economics (using psychology to
inform theories of rationality limits) - Part of experimental economics (new techniques)
- Part of neuroscience (higher order cognition)
- Neuroeconomics Camerer, Loewenstein, Prelec J
EconLit (85 pp), Scan J Econ (25 pp), Why
economics needs brains
2Collaborators
- Caltech Meghana Bhatt, Ming Hsu, Ralph Adolphs,
Cedric Anen, Steve Quartz - Iowa Dan Tranel
- Baylor Brooks King-Casas, Damon Tomlin, Read
Montague
3Three directions in neuroeconomics
- I. Support for rational-choice models
- Belief neurons
- Expected-value neurons
- Monkey shopping satisfies GARP
- II Support for behavioral alternatives
- Loss-aversion in monkey shopping
- Learning in trust games
- Ambiguity vs. risk (Knight, Ellsberg)
- III New concepts
- Equilibrium as a state of mind
- Neural correlates of strategic IQ
- Biological basis of demand
4Economically-important regions of the human brain
5Cingulate (yellow), orbitofrontal (pink),
amygdala (orange), somatosensory
(green), insula (purple)
6Important facts about the brain
- Functional modularity
- but plastic esp. in childhood
- Behavior depends on circuits
- Human brain is primate brain neocortex
- Language, social organization (institutions)
- Infants, fraternity parties show similarity
- Many biological functions are automated
conscious attention is scarce (flicker paradigm)
7I Rational choice in the brainMidbrain neurons
anticipate reward (L), encode value function V(.)
learning (R) (Schultz, Dayan, Montague Sci 97)
8Neuron firing rates (y axis) encode expected
value (x-axis) (Glimcher)
9Monkeys play mixed equilibrium as humans do
(Dorris-Glimcher Neuron 04)
10Capuchin monkeys respond to prices (Keith Chen et
al 05)
11II Behavioral economics in the brain
- Monkey choices are sensitive to reference points
- Reference point (initial food reward endowment)
- 1 2 1 2
- Outcome 1 1 (1,2)
(1,2) - Choice 79 21 71
29
12Design goal Link stimuli with unobserved
parametric processes/variables with circuitry
0-step thinking 1-step thinking Equilibrium
Cbr(B) w(red)-P(red)
13Overview of fMRI
14Data transformations
Statistical parametric map (SPM)
Image time-series
Design matrix
Kernel
General linear model
Realignment
Smoothing
Statistical inference
Normalisation
p lt0.05
Template
Parameter estimates
15Ambiguity Aversion (with Ming Hsu et al)
- This material is in review and cannot be publicly
circulated at this time.
16III New ideas
- Limited planning in bargaining?
- limited steps of thinking
- Equilibrium as a state of mind
- Biological bases of demand
17Rubinstein-Stahl alternating offershrinking-pie
bargaining
- 1 offers division of 5 ------------? accept
- ?
- 2 offers division of 2.50 -----------?
accept - ?
- 1 offers division of 1.25 ------------?
accept - ?
- (0,0)
18Limited planning in bargaining (Science, 03)
19Cognitive hierarchy thinking in games (Camerer,
Ho, Chong, QJE 04)
- Step 0 players choose randomly
- Step k players have beliefs gk(h)
- Step k players choose si(k) argmax s Sh
gk(h)pi(s,s(h)) - One-step-below gk(k-1)1
- Nagel (1995), Stahl-Wilson (1995),
Costa-gomes-Crawford-Broseta (2001) - Nornalized overconfidence gk(h) gk(h)/Shk-1
gk(h) - gk(h) 0 for hgtk
- Link to hierarchical QRE (Palfrey-Rogers-Camerer,
on this computer)
20Limited equilibrationBeauty contest game
- N players choose numbers xi in 0,100
- Compute target (2/3)(? xi /N)
- Closest to target wins 20
21(No Transcript)
22Neural correlates of iterated belief
(Bhatt-Camerer GEB in press)
- 8 dominance-solvable games.
- C, B, 2B in random order for each game
- Paid for choice (x.30) or accuracy B, 2B (15)
against live opponent outside the scanner.
(Enables measure of scanner on behavior.) - N16 Caltech community students
23Example 1-step (easy) game B dominates A. L-R
payoff separation allows eye tracking
24Conformity to equilibrium There are many
nonequilibrium trialsNote C matches 2B more
often than B matches 2B
25 Equilibrium is a state of mindExpected
reward theory of mind
(in equilibrium ?) (?
out-of-equilibrium)
26Subject complaining after an experiment (Zamir,
2000)
27Ultimatum games This is your brain on
unfairness(Sanfey, Rilling et al, Sci 13 March
03)
28Consistent 2nd-order beliefs (c2b) vs
inconsistent (false) (c?2b)
- 2nd-order belief consistency differential
activates dorsolateral prefrontal cortex (DLPFC) - DLPFC also seen in ultimatum games after low
offers (intentions matter) - DLPFC is part of 2nd-order belief circuitry?
29Deactivation in insula and high strategic IQ
- Strategic IQ (x-axis) How much you earn from
choices beliefs - Correlated (-) with activity in L insula in
choice task - ? Are overly self-focussed people poor strategic
thinkers?
30Insula and low strategic IQ
- Strategic IQ (x-axis) How much you earn from
choices beliefs - Correlated (-) with activity in L insula in
choice task - ? Are overly self-focussed people poor strategic
thinkers?
31Correlates of higher strategic IQ
32New ideas Biological basis for demand
- Economics takes demand as given. But
- Influence of advertising
- Familiarity and habit formation (tight playlist
radio stations) - Imitation of movie stars/TV shows
- LA Law? boom in law school applications
- Sense-making drive? demand for closure ?
lawsuits - Media If it bleeds, it leads, NASCAR races
- Does the amygdala control the TV remote?
- Addiction Is golf or shoe-shopping like heroin?
- Labor market discrimination (Phelps et al)?
- Unfamiliar black faces activate white student
amygdalae
33Conclusions
- I Rational choice processes in the brain
- Monkey belief neurons, games, shopping
- II Behavioral economics in the brain
- Monkey loss-aversion
- Ambiguity activates amygdala-OFC, risk striatum
- Lesion patients with OFC are rationalfor the
wrong reason? - III New ideas from neureconomics
- Limited strategic thinking? equilibrium as a
state of mind - Skill (strategic IQ) correlated with precuneus,
caudate, - correlated - with insula
- Biological basis of demand
34Activation in cingulate cortex spindle cell
density