Computing Anticipatory Systems: CASYS'05 - Seventh International Conference on Computing Anticipatory Systems
Daniel M. Dubois
American Inst. of Physics, Jun 16, 2006 - Computers - 652 pages
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.
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General Principles for Brain Design
The Dual Incursive System of the Discrete Harmonic Oscillator
The Superposed Hyperincursive System of the Discrete Harmonic Oscillator
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2006 American Institute algorithm anticipation application atomic sentences attachment space behavior boson causal cellular automata closure cognitive complete lattice complex components Computing Anticipatory Systems concept corresponding D. M. Dubois dark energy defined dimension discrete dynamics edited by D. M. element energy environment example external fermion FIGURE fMRI formal function fuzzy given global gravitational gustatory harmonic oscillator horizon hyperincursive incursive algorithms initial conditions input Institute of Physics interaction Intranet linear logic loop magnetic mathematical means measurements neural nilpotent object observed operator organization paper parameters particle phase space plasma Plasmodium possible predictions present problem quantum mechanics recursive relation represent representation self-organization Simula simulation solution space-time spatial spinbacks stability structure superposed oscillator symmetry temporal tensor theorem theory Titius-Bode law trajectory transformation vacuum vacuum energy Value Potentials variables vector Viable System Model