Active Inference

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

Programs based on A Step-by-Step Tutorial on Active Inference and its Application to Empirical Data

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

ODE solvers

File	Remarks
euler.py	Euler's method
rk4.py	Workhorse Runge-Kutta 4th order
sde.py	Euler-Maruyama method

Miscellaneous

File	Remarks
ActiveInference.wpr	Project for Python Code
template.py	Template for creating additional programs