Natural and Artificial Minds (NAM), a new AI Lab research initiative reenvisioning theory-driven cognitive science research in the age of artificial intelligence, is hosting a launch event on Thursday, September 26, and faculty lightning talks on Friday, September 27.

Date: Friday, September 27, 9:30am-1pm
Location: Friend Center 006

The program features Princeton faculty lightning talks: 

• Tom Griffiths, Psychology & Computer Science
  Bayes in the age of intelligent machines

• Nathaniel Daw, Neuroscience & Psychology
  Data-driven models of human and animal learning

• Tania Lombrozo, Psychology
  Learning by thinking in natural and artificial minds

• Naomi Leonard, Mechanical & Aerospace Engineering
  Fast and flexible multi-agent decision-making

• Adam Elga, Philosophy
  Moral and epistemic self-nudging, anticipated bias, and multi-armed bandits

• Sarah-Jane Leslie, Philosophy & Statistics and Machine Learning
  Interacting minds: Stochastic dynamics and equilibria

• Olga Russakovsky, Computer Science
  Understanding Artificial Minds

• Jonathan Cohen, Psychology & Neuroscience
  Miller's Law: A Unifying Information Theoretic Principle Underlying Processing Constraints in Minds and Machines

Breakfast and lunch will be provided.