Lecture 16: Artificial Intelligence, Turing Machines, and Neural Networks | COGSCI 1 | UC Berkeley

Introduction to Cognitive Science (COGSCI 1B)
Lecture 16: Artificial Intelligence, Turing Machines, and Neural Networks

Introduction (0:00)
Artificial intelligence: Weak (narrow) AI and strong (general) AI (0:33)
The classical computational theory of mind (CTM) and Turing machines (6:55)
Connectionism and artificial neural networks (18:24)
Supervised learning (32:05)
Unsupervised learning (40:10)
Artificially intelligent agents (42:30)
Turing tests (44:08)
Social robots (45:47)
Laws of robotics (49:57)
Aristotle and the varieties of friendship (53:01)

References

Aristotle. (2011). Nicomachean Ethics. Chicago: University of Chicago Press. www.google.com/books/edition/Aristotle_s_Nicomache…

Buckner, C. & Garson, J. (2019). Connectionism. Stanford Encyclopedia of Philosophy. plato.stanford.edu/entries/connectionism

Rescorla, M. (2015). Computational modeling of the mind. WIREs Cognitive Science, 6, 65-73. doi.org/10.1002/wcs.1325

Much thanks to Alecia Barnes and Michelle Wolf at DSP Berkeley for providing professionally captioned media for the lectures in this course.