Minds and Machines

One of the long-standing tensions in cognitive science is the relationship between human cognition and machine learning. Can modern machine learning methods teach us anything interesting about the human mind? Does cognitive psychology have a role to play in guiding the development of artificial intelligence systems? Why are machine learning systems so much better than humans at chess, but not so good at the Atari game Frostbite? The goal in this elective is to provide an introduction to the current state of the art in computational cognitive science. On the "minds" side, we'll discuss papers examining topics in human learning, reasoning, decision making and social cognition. On the "machines" side, we'll go through a very gentle introduction to programming in R and building computational models of human cognition. (previously: 2017, 2016)

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