Anticipatory Systems

Philosophical, Mathematical and Methodological Foundations

Anticipatory Systems

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).

Anticipatory Behavior in Adaptive Learning Systems

Foundations, Theories, and Systems

Anticipatory Behavior in Adaptive Learning Systems

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.

Computing Anticipatory Systems: CASYS 2001

Fifth International Conference, Liege, Belgium, 13-18 August 2001

Computing Anticipatory Systems: CASYS 2001

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.

The Knowledge-based Economy

Modeled, Measured, Simulated

The Knowledge-based Economy

"Challenging, theoretically rich yet anchored in detailed empirical analysis, Loet Leydesdorff's exploration of the dynamics of the knowledge-economy is a major contribution to the field. Drawing on his expertise in science and technology studies, systems theory, and his internationally respected work on the 'triple helix', the book provides a radically new modelling and simulation of knowledge systems, capturing the articulation of structure, communication, and agency therein. This work will be of immense interest to both theorists of the knowledge-economy and practitioners in science policy." Andrew Webster Science & Technology Studies, University of York, UK ________________________________________ "This book is a ground-breaking collection of theory and techniques to help understand the internal dynamics of the modern knowledge-based economy, including issues such as stability, anticipation, and interactions amongst components. The combination of theory, measurement, and modelling gives the necessary power with which to address the complexity of modern networked social systems. Each on its own would partly illuminate an innovation system, but the combination sheds a far brighter light." Mike Thelwall Information Science, University of Wolverhampton, UK ________________________________________ "The sociologist Niklas Luhmann is considered one of the few social scientists possibly able to explain a decisive event once it has happened. In this book, Loet Leydesdorff answers the challenge to take Luhmann's analysis one step further by introducing anticipation into the theory. This book provides a fascinating exploration of the use of recursion and incursion to model social processes." Dirk Baecker Sociology, Universitat Witten/Herdecke, Germany ________________________________________ How can an economy based on something as volatile as knowledge be sustained? The urgency of improving our understanding of a knowledge-based economy provides the context and necessity of this study. In a previous study entitled A Sociological Theory of Communications: The Self-Organization of the Knowledge-based Society (2001) the author specified knowledge-based systems from a sociological perspective. In this book, he takes this theory one step further and demonstrates how the knowledge base of an economic system can be operationalized, both in terms of measurement and by providing simulation models."

Computing Anticipatory Systems

CASYS'03 - Sixth International Conference

Computing Anticipatory Systems

These proceedings from an August 2003 conference report on research and development in the paradigm of computing anticipatory systems. Included are all the papers by invited speakers who received awards at the conference, as well as a selection of invited papers. Material is presented in sections on quantum mechanics and biophysical systems, antici

Computing Anticipatory Systems

CASYS'07 - Eighth International Conference

Computing Anticipatory Systems

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.

Computing Anticipatory Systems

CASYS'99 - Third International Conference, Liege, Belgium, 9-14 August 1999

Computing Anticipatory Systems

Annotation The proceedings from this August 1999 conference include award winning papers on space flight and free will, as well as 57 other papers, on topics such as: hyperincursivity, anticipation, fuzzy, linguistic, and formal systems; anticipatory, economical, and social systems; incursive, biological, and ecological systems; cognitive, quantum, and neural networks; quantum, relativist, and astrophysical systems; chaos, fractals, automata, and physical systems; and autonomous agents, control, discrete systems, and anticipation. Author index only. Annotation c. Book News, Inc., Portland, OR (booknews.com)

Computing Anticipatory Systems

CASYS 2000 - Fourth International Conference, Liege, Belgium, 7-12 August 2000

Computing Anticipatory Systems

This AIP Conference proceedings contains all papers which received a Best Paper Award as well as a selection of invited papers. The scope of this volume encompasses the study, research and development of concepts, methodologies, theories and mathematical models for designing, modeling, simulating, optimizing, controlling of computing anticipatory systems. Computing systems refer to any rule-based and learning-based evolving natural and artificial systems. Computation deals with manipulation of symbols in a large sense. 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 forecasted from a model of a system. The topics of the chapters are computing anticipatory systems; significant progress in quantum mechanics and relativity; chaos and complex systems; fuzzy dynamics, genetic algorithms and soft computing; time, anticipation and hyperincursion; anticipation in psychology and cognition; anticipation, decision making, economy and social systems; and, computational intelligence, control and computing systems.

Anticipation

Anticipation

In tennis, the return of a serve is successful only through anticipatory mechanisms on the part of the defensive player. When playing the stock market, anticipation of supply and demand, price variations, and other factors is crucial, the very driving engine of most exchanges. Anticipation: it occurs in all spheres of life. Not least of all is the realm of creativity, the fields of art and design. (Buckminster Fuller even taught a class in anticipatory design in 1956 at MIT.) As you might have expected, this volume casts light on design problems relating to anticipatory processes.