Title
Specific and Complete Local Integration of Patterns in Bayesian Networks.
Abstract
We present a first formal analysis of specific and complete local integration. Complete local integration was previously proposed as a criterion for detecting entities or wholes in distributed dynamical systems. Such entities in turn were conceived to form the basis of a theory of emergence of agents within dynamical systems. Here, we give a more thorough account of the underlying formal measures. The main contribution is the disintegration theorem which reveals a special role of completely locally integrated patterns (what we call i-entities) within the trajectories they occur in. Apart from proving this theorem we introduce the disintegration hierarchy and its refinement- free version as a way to structure the patterns in a trajectory. Furthermore, we construct the least upper bound and provide a candidate for the greatest lower bound of specific local integration. Finally, we calculate the i-entities in small example systems as a first sanity check and find that i-entities largely fulfil simple expectations.
Year
DOI
Venue
2017
10.3390/e19050230
ENTROPY
Keywords
Field
DocType
identity over time,Bayesian networks,multi-information,entity,persistence,integration,emergence,naturalising agency
Mathematical optimization,Upper and lower bounds,Infimum and supremum,Algorithm,Theoretical computer science,Dynamical systems theory,Bayesian network,Disintegration theorem,Hierarchy,Trajectory,Mathematics
Journal
Volume
Issue
ISSN
19
5
1099-4300
Citations 
PageRank 
References 
0
0.34
5
Authors
3
Name
Order
Citations
PageRank
Martin Biehl1235.15
Takashi Ikegami222962.61
Daniel Polani354970.25