Karl Friston on the FEP, cognition, life, agency, enactivism

1

Introduction

00:00 • 3min

2

Predictive Processing Is a Concept of Sensitivity and Sensing

03:14 • 4min

3

The Action Perception Cycle

07:32 • 3min

4

The Free Energy Principle

10:24 • 2min

5

The Imperatives for Good Predictive Processing

12:04 • 5min

6

In Machine Learning You Want to Minimize the Free Energy

16:59 • 2min

7

The Maximum Entropy Principle Is the Free Energy Principle

19:23 • 3min

8

The Free Energy Principle

22:11 • 5min

9

The Imperative to Minimizing Surprise or Expected Free Energy

26:54 • 5min

10

So Radical in Activism in a Nuanced Way?

32:24 • 6min

11

Evolution Is an Example of the Free Energy Principle and It's an Example of the Adaptive Fitness Maximization

38:01 • 4min

12

The Free Energy Principle in Machine Learning Is Applied to Scaling

42:26 • 4min

13

The Free Energy Principle in Application

46:10 • 3min

14

Is There a Markov Blank?

49:35 • 5min

15

Theology Principles in Engineering - Partitioning the World

54:21 • 3min

16

The Evolution Stable State of Predictive Processing in a Minimal Environment

57:49 • 4min

17

The Best Plan Is That Which Minimizes the Surprise Expected

01:01:19 • 3min

18

Is There an Opportunity to Be Curious?

01:04:09 • 4min

19

The Pragmatic Affordance

01:08:23 • 4min

20

The Ability to Plan

01:12:22 • 2min

21

Is There a Bright Line Between Different Kinds of Things?

01:14:02 • 5min

22

The Limits of Self-Evidancing in Machine Learning

01:18:57 • 3min

23

The Meta Problem

01:21:48 • 5min

24

How to Maximize the Marginal Probability of All of Your Sensations

01:26:39 • 3min

25

The Idea of Extended Cognitive Capacity

01:29:31 • 3min

26

Um Self-Organizing Predictive Predictional Processing and Machine Learning

01:32:14 • 3min

27

The Process of Scientific Inquiry

01:35:08 • 2min