Information "Theory" is Nothing Except Fraud and Mysticism

Here comes a rather self important and "weighty" arXiv paper claiming to clarify the confusion regarding self organizing complex systems. While "cellular automata" are the solitonic type of phenomena which I have emphasized are well worth study, the ridiculous conceit that these types of phenomena can reduced to some network input /output computer model is laughable. Read the synopsis for a chuckle or two, if you please:


Complexity and Information: Measuring Emergence, Self-organization, and Homeostasis at Multiple Scales
Carlos Gershenson, Nelson Fernandez
(Submitted on 9 May 2012)
Concepts used in the scientific study of complex systems have become so widespread that their use and abuse has led to ambiguity and confusion in their meaning. In this paper we use information theory to provide abstract and concise measures of complexity, emergence, self-organization, and homeostasis. The purpose is to clarify the meaning of these concepts with the aid of the proposed formal measures. In a simplified version of the measures (focussing on the information produced by a system), emergence becomes the opposite of self-organization, while complexity represents their balance. We use computational experiments on random Boolean networks and elementary cellular automata to illustrate our measures at multiple scales.