This unique interdisciplinary approach examines the intricate relationships among the stability and structures of massive dynamic systems. Its definitions of large systems in terms of their interconne
This book is a written-up and expanded version of eight lectures on the Hodge theory of projective manifolds. It assumes very little background and aims at describing how the theory becomes progressiv
Based on a streamlined presentation of the authors' successful work Linear Systems, this textbook provides an introduction to systems theory with an emphasis on control. The material presented is bro
There has been recently some interdisciplinary convergence on a number of precise topics which can be considered as prototypes of complex systems. This convergence is best appreciated at the level of
The 15 papers in this collection present a Java simulator for optical burst switched networks, a relay race methodology for life cycle models, an intelligent simulation framework for integrated produc
Discrete-event dynamic systems (DEDs) permeate our world. They are of great importance in modern manufacturing processes, transportation and various forms of computer and communications networking. Th
This book covers several bases at once. It is useful as a textbook for a second course in experimental optimization techniques for industrial production processes. In addition, it is a superb referenc
The Phenomenon of Information addresses the problems of how information is conveyed, how to identify its characteristics, and how to define the mechanisms for describing it. To do this Mario Perez-Mon
This book gathers concepts of information across diverse fields –physics, electrical engineering and computational science – surveying current theories, discussing underlying notions of symmetry, and
The topic of dynamic models tends to be splintered across various disciplines, making it difficult to uniformly study the subject. Moreover, the models have a variety of representations, from traditio
There is a tremendous fascination with chaos and fractals, about which picture books can be found on coffee tables everywhere. Chaos and fractals represent hands-on mathematics that is alive and chang
Several of the ten papers in this collection explore modeling methods for active domains, knowledge management, deontic business rules, and organizational memory. Other topics include matching models
A black swan is a highly improbable event with three principal characteristics: It is unpredictable; it carries a massive impact; and, after the fact, we concoct an explanation that makes it appear le
Chaos exists in systems all around us. Even the simplest system can be subject to chaos, denying us accurate predictions of its behavior, and sometimes giving rise to astonishing structures of large-s
"In order for information systems supporting two different organizations to interoperate, there must be an agreement as to what the words mean. There are many such agreements in place, supporting info
The minimum description length (MDL) principle is a powerful method of inductive inference, the basis of statistical modeling, pattern recognition, and machine learning. It holds that the best explan
