Titlebook: Information Dynamics; Harald Atmanspacher,Herbert Scheingraber Book 1991 Springer Science+Business Media New York 1991 Chaos.algorithm.com

谦虚的人

Modelling Fractals and Turbulence,e scaling behavior of strange attractors obtained from small scale convection experiments is described within the multifractal formalism. The attractors are modelled by low-dimensional dynamical systems and good agreement between theory and experiment is found. To model turbulent phenomena we use ma

拍下盗公款

cliche

Causality and Information Flow, is a cause of A, or the two events possess some common cause. For more than two variables, however, the pattern of correlations can provide detailed causal information. Since variation in cause produces a correlated variation in effect, the question of which events are causes of which other events

exclusice

Non-Boolean Logic of the Theory of Evolutionary Science, obvious that the propositional structure of such theories cannot be logical in a completely Boolean sense. Namely, Boolean logic conserves information, because those logical transformations are, strictly speaking, tautological, as “deductions” are. “Inductions” are information conserving, if they a

depreciate

寒冷

Original

Aspects of Information Processing: Information Flow in Synergetic Computers,gy between pattern recognition and pattern formation. We show that the information flow in such computers can be determined explicitly. In this way the channel capacity, needed in such parallel computers, can be determined.