M2
Internship
Information
LNC2
Laboratory:

LNC2

Address

29 rue d'Ulm
75005 Paris France

Team
Human reinforcement learning

The candidate will combine methods from computational modeling, behavioural economics and cognitive sciences to address how humans learn to make value-based decisions. The ideal candidate will have good programming skills. A non-exhaustive lists of specific topics includes: comparing experience-based and description-based decisions: a memory-based account of value-based decision-making; social reinforcement learning. Most internships will implicate an experimental part, however, occasionally, we will consider pure theoretical (simulation-based) projects. 

More information about our research: https://sites.google.com/site/stefanopalminteri/phd-research  

 

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