Computing Integrated Information
arXiv Preprint Archive October 12, 2016 Stephan Krohn, Dirk Ostwald
Integrated information theory (IIT) identifies consciousness with maximally integrated conceptual information, quantified by Φ^max, and holds that phenomenal experience corresponds to the maximally irreducible cause-effect repertoires of a physical system in a given state. This work provides a general formulation of Φ^max using probabilistic models, treating the system as a first-order time-invariant Markov process and specifying all operations via the system's joint probability distribution over two adjacent time points.