Anticipatory Systems

Anticipatory Systems PDF

Author: Robert Rosen

Publisher: Elsevier

Published: 2013-10-22

Total Pages: 447

ISBN-13: 1483286274

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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).

Computing Anticipatory Systems

Computing Anticipatory Systems PDF

Author: D. M. Dubois

Publisher: American Institute of Physics

Published: 2004-08-23

Total Pages: 650

ISBN-13:

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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.

Computing Anticipatory Systems

Computing Anticipatory Systems PDF

Author: Daniel M. Dubois

Publisher: American Institute of Physics

Published: 2006-06-16

Total Pages: 674

ISBN-13: 9780735403314

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This book constitutes the proceedings of the Seventh International Conference on Computing Anticipatory Systems, CASYS'05. The volume includes all invited papers as well as those papers that received a best paper award. Also included is a lecture on "General Principles for Brain Design," presented by Brian D. Josephson, Nobel Laureate in Physics. The papers discuss recent research and development in the modeling and computing of anticipatory systems in fields of natural and artificial systems.

Computing Anticipatory Systems: CASYS 2001

Computing Anticipatory Systems: CASYS 2001 PDF

Author: D. M. Dubois

Publisher: American Institute of Physics

Published: 2002-09-05

Total Pages: 610

ISBN-13:

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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.

Computing Anticipatory Systems

Computing Anticipatory Systems PDF

Author: D. Dubois

Publisher: American Institute of Physics

Published: 2008-12-02

Total Pages: 436

ISBN-13: 9780735405790

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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

Computing Anticipatory Systems PDF

Author: Daniel M. Dubois

Publisher: American Institute of Physics

Published: 2004-08-23

Total Pages: 622

ISBN-13: 9780735401983

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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.

Computing Anticipatory Systems

Computing Anticipatory Systems PDF

Author: D. M. Dubois

Publisher: American Institute of Physics

Published: 2001-07-13

Total Pages: 726

ISBN-13:

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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.

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