Chapter
Understanding Cognitive Architecture and Credit Assignment in Learning Systems
1:18:50 - 1:23:38 (04:47)
The speaker discusses the importance of understanding the cognitive architecture and credit assignment in learning systems. They consider several factors including how learning dynamics are spiking or looping, the role of regularization in injecting robustness, and the type of system (mechanical, electrical, or chemical) involved in the learning process.
Clips
This podcast talks about the cognitive architecture that is needed to have a perceptual system, learn the dynamics of the world, and then have a routine program learning system to learn concepts, including the back propagation and credit assignment techniques.
1:18:50 - 1:23:38 (04:47)
Cognitive Architecture
Summary
This podcast talks about the cognitive architecture that is needed to have a perceptual system, learn the dynamics of the world, and then have a routine program learning system to learn concepts, including the back propagation and credit assignment techniques. The inference side is more amenable to being constrained since experiments are much easier to perform.