Bounded rationality, abstraction and hierarchical decision-making: an information-theoretic optimality principle: supplementary code (v1.1.0)

Release of supplementary code and notebooks for

Genewein T., Leibfried F., Grau-Moya J., Braun D.A. (2015): Bounded rationality, abstraction and hierarchical decision-making: an information-theoretic optimality principle, Frontiers in Robotics and AI.

Up-to-date versions of the code are found on the corresponding github repository:

https://github.com/tgenewein/BoundedRationalityAbstractionAndHierarchicalDecisionMaking

The code was tested with Julia 0.4.0 and Jupyter 0.4.1. The notebooks work fine on Chrome, but there might be some issues with interactive widgets on Firefox and Internet Explorer. See Readme.md for more details on specific Julia package versions and how to get the notebooks to run.

The code provided is a proof-of-concept implementation: it is not intended for production nor is it meant to provide a base library.