reward-based decision making under social interaction damon tomlin muri kick-off meeting september...
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Reward-based decision making under social interaction
Damon Tomlin
MURI Kick-Off meeting
September 13, 2007
The decision task
A B
The underlying structure . . .
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A more interesting case . . .
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Adding social interaction . . .
• Feedback
– None
– Choice history
– Individual rewards
Adding social interaction
• Feedback
• Different games
• NEO data
Conditions in the experiment: “Alone”
Conditions in the experiment: “Rewards”
Conditions in the experiment: “Choices”
Logistics
• Group size
• Subject payment
• Behavioral cohort
• Imaging cohort
Game elements
• Crossing points
• Optimal reward
• Short term vs. long term gains
Games within the experiment"Simple" Rising Optimum
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How frequently do subjects find the optimum?
Once found, do they stay?
Games within the experiment"Simple" Rising Optimum
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Are subjects naturally biased toward A or B?
Games within the experiment“Complex" Rising Optimum
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Can subjects find a more subtle strategy?
How do social partners affect adherence to it?
Individual behavior
QuickTime™ and aCinepak decompressor
are needed to see this picture.
Individual behavior
QuickTime™ and aCinepak decompressor
are needed to see this picture.
Games within the experimentConverging Gaussians
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How much exploration occurs in a simple task?
Individual behavior
QuickTime™ and aCinepak decompressor
are needed to see this picture.
Games within the experimentDiverging Gaussians
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How does social information produce herd behavior?
Individual behavior
QuickTime™ and aCinepak decompressor
are needed to see this picture.
Summary
• Binary choice decision paradigm
• Social conditions:– Alone– Reward Information– Choice Information
• Games examining:– Exploratory behavior– Herd behavior– Strategy maintenance