How causal analysis can reveal autonomy in models of biological systems
This research used Integrated Information Theory (IIT) to analyze a Boolean network model of fission yeast cell cycles. The study found that this analysis reveals a complex causal architecture with many high-order mechanisms, suggesting intrinsic causal borders that characterize biological autonomy. This framework helps distinguish living systems from non-living ones by identifying self-defined control.