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The first detailed study of this most important class of systems which contain internal predictive models of themselves and/or of their environments and whose predictions are utilized for purposes of present control. This book develops the basic concept of a predictive model, and shows how it can be embedded into a system of feedforward control. Includes many examples and stresses analogies between wired-in anticipatory control and processes of learning and adaption, at both individual and social levels. Shows how the basic theory of such systems throws a new light both on analytic problems (understanding what is going on in an organism or a social system) and synthetic ones (developing forecasting methods for making individual or collective decisions).
These proceedings deal with a selection of papers presented at the 8th International Conference CASYS’07, on COMPUTING ANTICIPATORY SYSTEMS, 6-11 August 2007, held at HEC Management School - University of Liege, Liège, Belgium. The content of these proceedings deals with the most recent Research & Development in the area of theoretical developments and applications in the modelling and computing of anticipation in any fields of natural and artificial systems. A computing anticipatory system is a system that computes its current states in taking into account its past and present states but also its potential future states. Strong anticipation refers to an anticipation of events built by or embedded in a system. Weak anticipation refers to an anticipation of events predicted or forecasted from a model of a system. This volume contains the first invited lecture “Neural Approach to Machine Consciousness”, by Prof. Dr Igor Aleksander, FREng (UK) who received the CHAOS AWARD, and the second invited lecture “Quantum Mechanics, Pattern Recognition, and the Mammalian Brain”, by Dr George Chapline (USA) who received the CASYS AWARD. The peer reviewed papers that received a BEST PAPER AWARD at CASYS’07, and some invited papers are included in these proceedings. Adel F. Antippa (Canada) and Daniel M. Dubois (Belgium) presented the continuation of their original research project on discrete physics with their third fundamental paper “Synchronous Discrete Harmonic Oscillator” that also appears in these proceedings. The interdisciplinary outstanding topics of these proceedings are readable by researchers and scientists with a university background.
This proceedings volume contains foundation of anticipation in any system and applications in all the areas of science: economy, biology, cognition, physics, robotics, etc. Strong anticipatory systems deal with systems which behave in taking into account past, present and computed future states. The new mathematical and computational tools of incursion and hyperincursion are developed in this way. In weak anticipatory systems, the future states are predicted from models of these systems. The domain of computing anticipatory systems is becoming a new frontier of science.
The scope of these proceedings is the study, research, and development in the new frontier of science dealing with the paradigm of computing anticipatory systems. A computing anticipatory system is a system which computes its current states in taking into account its anticipatory states. Strong anticipation refers to an anticipation of events built by or embedded in a system. Weak anticipation refers to an anticipation of events predicted or forecast from a model of a system. These proceedings include all the papers by invited speakers who received awards at CASYS'03 as well as a selection of invited papers. Topics include: relativity, quantum mechanics and biophysical systems; anticipatory systems, adaptation and hyperincursion; mathematical models, chaos and soft computing; logic, algorithms and computing systems; living systems, evolution and cognitive models; decision support, enterprise and management models and control systems, simulation and chaos.
These AIP Conference Proceedings contain the papers of the two invited speakers: "Systems with Emergent Dynamics" by Ian Stewart (UK), who received the CHAOS AWARD, and "The Role of Anticipation in Intelligent Systems" by George J. Klir (USA), who received the CASYS'01 AWARD. Second, all the papers of the authors who received a Best Paper Award, and, third, a selection of invited papers. The scope is the study, research, and development in the new frontier of science dealing with the paradigm of computing anticipatory systems. A computing anticipatory system is a system which computes its current states in taking into account its anticipatory states. Strong anticipation refers to an anticipation of events built by or embedded in a system. Weak anticipation refers to an anticipation of events predicted or forecast from a model of a system. Topics include Anticipatory Systems, Cybernetics and Epistemology; Mathematical System, Chaos, Anticipation and Incursion; Relativity, Quantum Physics and Quantum Computing; Intelligent Agents, Learning and Cognitive Systems; Organisation, Regulation, Management and Planning; Control Systems, Robots, Neural Nets and Agents; and Information Science Models and Anticipatory Programs.
Robert Rosen was not only a biologist, he was also a brilliant mathematician whose extraordinary contributions to theoretical biology were tremendous. Founding, with this book, the area of Anticipatory Systems Theory is a remarkable outcome of his work in theoretical biology. This second edition of his book Anticipatory Systems, has been carefully revised and edited, and includes an Introduction by Judith Rosen. It has also been expanded with a set of Prolegomena by Dr. Mihai Nadin, who offers an historical survey of this fast growing field since the original work was published. There is also some exciting new work, in the form of an additional chapter on the Ontology of Anticipation, by Dr. John Kineman. An addendum-- with autobiographical reminiscences by Robert Rosen, himself, and a short story by Judith Rosen about her father-- adds a personal touch. This work, now available again, serves as the guiding foundations for the growing field of Anticipatory Systems and, indeed, any area of science that deals with living organisms in some way, including the study of Life and Mind. It will also be of interest to graduate students and researchers in the field of Systems Science.
The availability of today’s online information systems rapidly increases the relevance of dynamic decision making within a large number of operational contexts. Whenever a sequence of interdependent decisions occurs, making a single decision raises the need for anticipation of its future impact on the entire decision process. Anticipatory support is needed for a broad variety of dynamic and stochastic decision problems from different operational contexts such as finance, energy management, manufacturing and transportation. Example problems include asset allocation, feed-in of electricity produced by wind power as well as scheduling and routing. All these problems entail a sequence of decisions contributing to an overall goal and taking place in the course of a certain period of time. Each of the decisions is derived by solution of an optimization problem. As a consequence a stochastic and dynamic decision problem resolves into a series of optimization problems to be formulated and solved by anticipation of the remaining decision process. However, actually solving a dynamic decision problem by means of approximate dynamic programming still is a major scientific challenge. Most of the work done so far is devoted to problems allowing for formulation of the underlying optimization problems as linear programs. Problem domains like scheduling and routing, where linear programming typically does not produce a significant benefit for problem solving, have not been considered so far. Therefore, the industry demand for dynamic scheduling and routing is still predominantly satisfied by purely heuristic approaches to anticipatory decision making. Although this may work well for certain dynamic decision problems, these approaches lack transferability of findings to other, related problems. This book has serves two major purposes: ‐ It provides a comprehensive and unique view of anticipatory optimization for dynamic decision making. It fully integrates Markov decision processes, dynamic programming, data mining and optimization and introduces a new perspective on approximate dynamic programming. Moreover, the book identifies different degrees of anticipation, enabling an assessment of specific approaches to dynamic decision making. ‐ It shows for the first time how to successfully solve a dynamic vehicle routing problem by approximate dynamic programming. It elaborates on every building block required for this kind of approach to dynamic vehicle routing. Thereby the book has a pioneering character and is intended to provide a footing for the dynamic vehicle routing community.
The interdisciplinary topic of anticipation, attracting attention fromnbsp;computer scientists, psychologists, philosophers, neuroscientists, and biologists is a rather new and often misunderstood matter of research. This book attempts to establish anticipation as a research topic and encourage further research and development work. First, the book presents philosophical thoughts and concepts to stimulate the reader's concern about the topic. Fundamental cognitive psychology experiments then confirm the existence of anticipatory behavior in animals and humans and outline a first framework of anticipatory learning and behavior. Next, several distinctions and frameworks of anticipatory processes are discussed, including first implementations of these concepts. Finally, several anticipatory systems and studies on anticipatory behavior are presented.
Technology-driven change is accelerating at an exponential rate, but moving fast in the wrong direction will only get you into trouble faster! Reacting to problems and digital disruptions, no matter how agile you and your organization are, is no longer good enough. The Anticipatory Organization teaches you how to separate the Hard Trends that will happen, from the Soft Trends that might happen, allowing you to jump ahead with low risk and the confidence certainty can provide. Accelerate innovation and actively shape the future—before someone else does it for you! Digital transformation has divided us all into two camps: the disruptor and the disrupted. The Anticipatory Organization gives you the tools you need to see disruption before it happens, allowing you to turn change into advantage. In The Anticipatory Organization, Burrus shows us that the future is far more certain than we realize, and finding certainty in an uncertain world provides a big advantage for those who know how and where to look for it. Inspired by the dramatic results that organizations are experiencing from his award-winning learning system, The Anticipatory Organization offers a comprehensive way to identify game-changing opportunities. Using the principles of this proven model, you will learn how to elevate planning, accelerate innovation, and transform results by pinpointing and acting upon enormous opportunities waiting to be discovered. Readers will learn how to: • Separate the Hard Trends that will happen from the Soft Trends that might happen • Anticipate disruptions, problems, and game-changing opportunities • Identify and pre-solve predictable problems • Accelerate innovation (both everyday innovation and exponential innovation) • Pinpoint and act upon enormous untapped opportunities ​• Skip problems and barriers to succeed faster
Behavioral Specifications of Businesses and Systems deals with the reading, writing and understanding of specifications. The papers presented in this book describe useful and sometimes elegant concepts, good practices (in programming and in specifications), and solid underlying theory that is of interest and importance to those who deal with increased complexity of business and systems. Most concepts have been successfully used in actual industrial projects, while others are from the forefront of research. Authors include practitioners, business thinkers, academics and applied mathematicians. These seemingly different papers address different aspects of a single problem - taming complexity. Behavioral Specifications of Businesses and Systems emphasizes simplicity and elegance in specifications without concentrating on particular methodologies, languages or tools. It shows how to handle complexity, and, specifically, how to succeed in understanding and specifying businesses and systems based upon precise and abstract concepts. It promotes reuse of such concepts, and of constructs based on them, without taking reuse for granted. Behavioral Specifications of Businesses and Systems is the second volume of papers based on a series of workshops held alongside ACM's annual conference on Object-Oriented Programming Systems Languages and Applications (OOPSLA) and European Conference on Object-Oriented Programming (ECOOP). The first volume, Object-Oriented Behavioral Specifications, edited by Haim Kilov and William Harvey, was published by Kluwer Academic Publishers in 1996.