Code written to understand Karl Friston on Active Inference
Programs based on Life as we Know it
| File | Description |
|---|---|
| ActiveInference.bib | Bibliography |
| ActiveInference.tex | Derivations of equations |
| selforg.py | Replication of Figure 2, Self Organization and the emergence of macroscopic behaviour, from Friston & Ao, Free Energy, Value, and Attractor |
| huygens.py | Test for Huyghens oscillator in selforg.py |
| File | Description |
|---|---|
| example2.py | Example 2 |
| exercise2.py | Exercise 2 |
| figure2.py | Figure 2 |
| message_passing.py | Ported from Message_passing_example.m |
| pomdp.py | POMDP example and library for solvers |
| pomdp_driver.py | POMDP example |
Programs based on A tutorial on the free-energy framework for modelling perception and learning, by Rafal Bogacz
| File | Remarks |
|---|---|
| feex1.py | Exercise 1--posterior probabilities |
| feex2.py | Exercise 2--most likely size |
| feex3.py | Exercise 3--neural implementation |
| feex5.py | Exercise 5--learn variance |
| File | Remarks |
|---|---|
| euler.py | Euler's method |
| rk4.py | Workhorse Runge-Kutta 4th order |
| sde.py | Euler-Maruyama method |
| File | Remarks |
|---|---|
| ActiveInference.wpr | Project for Python Code |
| template.py | Template for creating additional programs |