ISSN: 3069-2059
Mini Review
Complexity Control (CC) within Living Networks
DOI : To be assigned
Bruce J West¹* and Senthil Mudaliar²
¹Department for Research and Innovation, North Carolina State University,
Raleigh, NC, USA and Center for Nonlinear Science, University of North Texas,
Denton, USA
²Chemical Casualty Care Division, US Army Medical Research Institute of
Chemical Defense, Aberdeen Proving Ground, USA
Corresponding Author
Bruce J West, Department for Research and Innovation, North Carolina State University, Raleigh, NC, USA and Center for Nonlinear Science, University of North Texas, Denton, USA
Keywords
Encryption; Decryption; CMME model; Reinforcement Learning; Fractal Kinetic Equation
Abstract
Herein we point out the importance of crucial events in living networks and clarify the difference between the empirical perturbative method of Complexity Matching and Management Effect (CMME) and the the recent extension of these concepts to the interactive method of Complexity Control (CC). Ashby’s Law explaining the need for higher complexity in driving one complex network by another is argued to be equivalent to CC. Consequently, the CC is identified rather than CMME as the appropriate mechanism for explaining the information flow is consistent with Ashby’s Law. A major conclusion reached is that because Ashby’s Law is equivalent to CC the theoretical basis used to explain a number of empirical results are wrong.