Integrated Information for Small-sized System with a Bridge

Abstract

We evaluate the integrated conceptual information for a small system consistingof 6 to 8 nodes with a bridge. For numerical computations, we use the Python library termedPyPhi proposed by Tononi et al., who are proponents of the integrated information theory ofconsciousness. Our simulations show that the integrated information varies under the influence ofnetwork topology and frustration of loops. It is also found that in systems with a bridge, smallsubsystems consisting of less than half of the total number of nodes comparatively form a majorcomplex which is the combination of nodes that generate the largest integrated information.