Terminal Chaos

In total passenger miles, air travel has never been more popular. But as any frequent flyer knows, air travel problems are growing even faster - long lines, lost luggage, overbooking, flight delays, and serious safety issues. And instead of doing something about it, the traveling public seems simply to be sitting down, buckling in, and allowing itself to be treated like sheep.But it doesn't have to be this way. There are solutions to our air travel problems, real solutions that can make real differences. And they don't require 15 years to implement.With decades of experience in civil aviation and policy, Drs. George Donohue and Russell Shaver are well qualified to assess the problems in the system and offer responsible, workable solutions. Dr. Donohue, the current Director of the Center for Air Transportation Systems Research and a Professor of Systems Engineering at George Mason University (GMU), has extensive high-level experience at the Federal Aviation Administration and the Defense Advanced Research Projects Agency (DARPA). Dr.Shaver, formerly a senior RAND Corporation research analyst and now a visiting research fellow at GMU, served as chief scientist for policy analysis at the MITRE Center for Advanced Aviation System Development.The stories they tell are compelling. There are high-profile horror stories - passengers stranded for hours on the tarmac, flights cancelled for 'bad weather' when there's not a drop of rain anywhere near the flight path - as well as an overall sense of apathy and obstructionism among those responsible for managing the industry. Interestingly, these problems are not the inevitable result of the size or complexity of the U.S. system. Air transportation in Europe, with almost identical air traffic control systems and safety standards, is far better.Amsterdam moves 30 per cent more passengers than Newark, but the average flight delay is an order of magnitude lower. In addition, a European Passenger's Bill of Rights - giving distressed passengers the right to substantial and immediate compensation - has been a powerful incentive for non-U.S. airlines to maintain their schedules.So just how did we get where we are in the U.S. system today?Donohue and Shaver cite multiple reasons that have combined to create the chaos we now face. These causes include airline deregulation, multiple governmental agencies with no central oversight or responsibility, multiple corporate entities with conflicting agendas, and a technologically outdated air traffic control system. Even more importantly, there seems to be a complete absence of advocacy for the customer - the passengers. The authors also explain that our air travel problems, if left unaddressed, are on a direct course to greatly impact the overall U.S. economy and harm our global competitiveness. In 2006 alone, delays and cancellations cost U.S. travelers an estimated $3.2 billion. And in 2004 and 2005, the U.S. tourism industry is estimated to have lost $98 billion in revenue due to our air travel mess.Fortunately, Donohue and Shaver don't leave us in this state of chaos. Their provocative analysis not only identifies the causes and extent of the problems, but also provides us with a course heading to put us on the path to recovery.The solutions they propose include holding the government decision-makers responsible, expanding the capacity of airports and airplanes, modernizing the air traffic control system, and implementing what the authors call the '30 per cent solution' to significantly reduce congestion.In short, this book should be read by every airline passenger traveling in or through the United States. As a country, we simply can't afford to let the chaos continue.

The stories we tell in our attempt to make sense of the world—our myths and religion, literature and philosophy, science and art—are the comforting vehicles we use to transmit ideas of order. But beneath the quest for order lies the uneasy dread of fundamental disorder. True chaos is hard to imagine and even harder to represent. In this book, Martin Meisel considers the long effort to conjure, depict, and rationalize extreme disorder, with all the passion, excitement, and compromises the act provokes. Meisel builds a rough history from major social, psychological, and cosmological turning points in the imagining of chaos. He uses examples from literature, philosophy, painting, graphic art, science, linguistics, music, and film, particularly exploring the remarkable shift in the eighteenth and nineteenth centuries from conceiving of chaos as disruptive to celebrating its liberating and energizing potential. Discussions of Sophocles, Plato, Lucretius, Calderon, Milton, Haydn, Blake, Faraday, Chekhov, Faulkner, Wells, and Beckett, among others, are matched with incisive readings of art by Brueghel, Rubens, Goya, Turner, Dix, Dada, and the futurists. Meisel addresses the revolution in mapping energy and entropy and the manifold effect of thermodynamics. He then uses this chaotic frame to elaborate on purpose, mortality, meaning, and mind.

Traditionally, randomness and determinism have been viewed as being diametrically opposed, based on the idea that causality and determinism is complicated by “noise. Although recent research has suggested that noise can have a productive role, it still views noise as a separate entity. This work suggests that this not need to be so. In an informal presentation, instead, the problem is traced to traditional assumptions regarding dynamical equations and their need for unique solutions. If this requirement is relaxed, the equations admit for instability and stochasticity evolving from the dynamics itself. This allows for a decoupling from the “burden of the past and provides insights into concepts such as predictability, irreversibility, adaptability, creativity and multi-choice behaviour. This reformulation is especially relevant for biological and social sciences whose need for flexibility a propos of environmental demands is important to understand: this suggests that many system models are based on randomness and nondeterminism complicated with a little bit of determinism to ultimately achieve concurrent flexibility and stability. As a result, the statistical perception of reality is seen as being a more productive tool than classical determinism. The book addresses scientists of all disciplines, with special emphasis at making the ideas more accessible to scientists and students not traditionally involved in the formal mathematics of the physical sciences. The implications may be of interest also to specialists in the philosophy of science. · Presents the ideas in an informal language.· Provides tools for exploring data for singularities.

So far as the laws of mathematics refer to reality, they are not certain. And so far as they are certain, they do not refer to reality. -A. Einstein The word "instability" in day-to-day language is associated with some thing going wrong or being abnormal: exponential growth of cancer cells, irrational behavior of a patient, collapse of a structure, etc. This book, however, is about "good" instabilities, which lead to change, evolution, progress, creativity, and intelligence; they explain the paradox of irreversi bility in thermodynamics, the phenomena of chaos and turbulence in clas sical mechanics, and non-deterministic (multi-choice) behavior in biological and social systems. The concept of instability is an attribute of dynamical models that de scribe change in time of physical parameters, biological or social events, etc. Each dynamical model has a certain sensitivity to small changes or "errors" in initial values of its variables. These errors may grow in time, and if such growth is of an exponential rate, the behavior of the variable is defined as unstable. However, the overall effect of an unstable variable upon the dynamical system is not necessarily destructive. Indeed, there al ways exists such a group of variables that do not contribute to the energy of the system. In mechanics such variables are called ignorable or cyclic.

This book represents the best of the first three years of the Society for Chaos Theory in Psychology conferences. While chaos theory has been a topic of considerable interest in the physical and biological sciences, its applications in psychology and related fields have been obscured until recently by its complexity. Nevertheless, a small but rapidly growing community of psychologists, neurobiologists, sociologists, mathematicians, and philosophers have been coming together to discuss its implications and explore its research possibilities. Chaos theory has been termed the first authentic paradigm shift since the advent of quantum physics. Whether this is true or not, it unquestionably bears profound implications for many fields of thought. These include the cognitive analysis of the mind, the nature of personality, the dynamics of psychotherapy and counseling, understanding brain events and behavioral records, the dynamics of social organization, and the psychology of prediction. To each of these topics, chaos theory brings the perspective of dynamic self-organizing processes of exquisite complexity. Behavior, the nervous system, and social processes exhibit many of the classical characteristics of chaotic systems -- they are deterministic and globally predictable and yet do not submit to precise predictability. This volume is the first to explore ideas from chaos theory in a broad, psychological perspective. Its introduction, by the prominent neuroscientist Walter Freeman, sets the tone for diverse discussions of the role of chaos theory in behavioral research, the study of personality, psychotherapy and counseling, mathematical cognitive psychology, social organization, systems philosophy, and the understanding of the brain.

The Central Nervous System can be considered as an aggregate of neurons specialized in both the transmission and transformation of information. Information can be used for many purposes, but probably the most important one is to generate a representation of the "external" world that allows the organism to react properly to changes in its external environment. These functions range from such basic ones as detection of changes that may lead to tissue damage and eventual destruction of the organism and the implementation of avoidance reactions, to more elaborate representations of the external world implying recognition of shapes, sounds and textures as the basis of planned action or even reflection. Some of these functions confer a clear survival advantage to the organism (prey or mate recognition, escape reactions, etc. ). Others can be considered as an essential part of cognitive processes that contribute, to varying degrees, to the development of individuality and self-consciousness. How can we hope to understand the complexity inherent in this range of functionalities? One of the distinguishing features of the last two decades has been the availability of computational power that has impacted many areas of science. In neurophysiology, computation is used for experiment control, data analysis and for the construction of models that simulate particular systems. Analysis of the behavior of neuronal networks has transcended the limits of neuroscience and is now a discipline in itself, with potential applications both in the neural sciences and in computing sciences.

In this book, leading researchers present their current work in the challenging area of chaos control in nonlinear circuits and systems, with emphasis on practical methodologies, system design techniques and applications. A combination of overview, tutorial and technical articles, the book describes state-of-the-art research on significant problems in this area. The scope and aim of this book are to bridge the gap between chaos control methods and circuits and systems. It is an ideal starting point for anyone who needs a fundamental understanding of controlling chaos in nonlinear circuits and systems.

This proceeding contains a selection of state of the art refereed papers on current Human-Computer Interaction topics, presented at the HCI 2000 conference. This conference is the annual conference of the British HCI Group, and was held at Sunderland University in September 2000. HCI 2000 is the premier European Human-Computer Interaction forum. People and Computers XIV represents a comprehensive guide to current research in HCI which will be essential reading for all researchers, designers and manufacturers who need to keep abreast of developments in HCI.