We have shown so far
- That indexes based upon Shannon Entropy cannot be considered robust measures of randomness (or complexity for that matter). [see J24 and P12]
- That computability, causality and dynamical systems are deeply connected by way of algorithmic probability [J, 22, P7, J4].
- That ranking, clustering, reconstruction and dimension-reductionality methods based upon principles at the intersection of dynamical systems, computability and algorithmic information are highly informative of causal generating mechanisms and first principles of causal systems. [see J16, J15, J22, P10, J9, P8, J17, J1 and new forthcoming]
- That novel methods can steer and reprogram networks and systems, both biological and synthetic. [see J17, P11, J4, preprint and new forthcoming].
For more information, visit Publications.
Soon you will also find here some animated videos showing these results in a visual fashion.