COMPUTING ANTICIPATORY SYSTEMS: CASYS'05; Seventh International Conference on Computing Anticipatory Systems

Seventh International Conference on Computing Anticipatory Systems

Daniel M. Dubois, HEC Management School-University of Liège, asbl CHAOS, Centre for Hyperincursion and Anticipation in Ordered Systems, 4000 Liège 1, BELGIUM

Conference Location and Date: Liège, Belgium, 8-13 August 2005

Subseries: Mathematical and Statistical Physics

Published June 2006; ISBN 0-7354-0331-7, One Volume Print, CD-ROM included; 664 pages; 8.5 X 11 inches, single column; Hardcover; $235.00

Readership: Physicists, mathematicians, computer scientists, engineers, economists, biologists, psychologists, and graduate students interested in computing anticipatory systems.

All papers were peer-reviewed. These proceedings include the invited papers as well as those papers that received a best paper award. This conference was enhanced by the presence of Brian D. Josephson, Nobel Prize in Physics, who presented an invited lecture on "General Principles for Brain Design", included in these proceedings. The content of these proceedings deals with the most recent research & development in the area of theoretical developments and applications in the modeling and computing of anticipatory systems 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. Specific topics include: physics, quantum mechanics, relativity; anticipatory systems, incursion, hyperincursion; logical and dynamical systems; computing systems; soft computing; cognitive systems; neuroscience, biosystems; risk management, economy; as well as engineering systems.

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