The Principle of Complexity Management
Abstract
Complex networks form one of the most challenging areas of modern research overarching the traditional scientific disciplines. Of particular importance is the manner in which information is shuttled back and forth between such networks and whether or not there exists general principles that guide the flow of information. Herein we identify Wiener's Law, which determines the information transfer in an information-dominated process. Moreover we show that this law is part of a Principle of Complexity Management (PCM) that determines the efficiency conditions for information exchange between complex networks. Example applications of PCM are made to the phenomenon of habituation and other activities involving the brain. The information transfer between two complex networks is calculated using linear response theory as well as by direct numerical calculation of the master equation dynamics of networks using a two-state decision making model.
- Publication:
-
Decision Making: A Psychophysics Application of Network Science. Edited by West Bruce J -. Published by World Scientific Publishing Co. Pte. Ltd
- Pub Date:
- 2011
- DOI:
- 10.1142/9789814365826_0010
- Bibcode:
- 2011dmpa.book..181W