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1
Intro
2
Where is AI today
3
Selfdriving cars
4
Common sense core
5
Babies
6
Orangutans
7
Scientific Context
8
Capturing Learning
9
Construct Models
10
Probabilities Programming
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Automatic differentiation
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Symbol manipulation
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Probabilistic inference
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Modern probabilistic programming
15
The game engine
Description:
Explore the cutting-edge field of computational models of cognition in this lecture by Josh Tenenbaum from MIT. Delve into the process of reverse-engineering common sense in the human mind and brain, examining the current state of AI and its applications in areas like self-driving cars. Investigate the core of common sense reasoning by studying babies and orangutans, and gain insights into the scientific context of cognitive modeling. Learn about capturing learning processes, constructing models, and working with probabilities and programming. Discover the roles of automatic differentiation, symbol manipulation, and probabilistic inference in modern cognitive science. Examine how probabilistic programming and game engines contribute to our understanding of human cognition and artificial intelligence.

Computational Models of Cognition - Reverse-Engineering Common Sense in the Human Mind and Brain Pt 1

MITCBMM
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