Computing Anticipatory Systems: Casys'05 - Seventh International Conference On Computing Anticipatory Systems (aip Conference Proceedings / Mathematical And Statistical Phsyics)

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 and 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.