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Inhaltsverzeichnis
- Measures and Principles of Uncertainty and Information: Recent Developments.
- Information and Complexity Measures in Dynamical Systems.
- Recursive Symbolic Encoding and Hierarchical Description of Complex Systems.
- Reconstructing Language Hierarchies.
- A Theory of State Space Reconstruction in the Presence of Noise.
- Applied Chaos: Quantifying Complex Systems.
- Modelling Fractals and Turbulence.
- Chaotic Data and Model Building.
- Causality and Information Flow.
- Some Remarks on the Problem of Repeatability of Experiments Dealing with Complex Systems.
- Non — Boolean Logic of the Theory of Evolutionary Science.
- Chaos and Information Processing: Multifractal Attractors Mediating Perception and Cognition.
- Reconstructing Complexity: Information Dynamics in Acoustic Perception.
- Measuring Correlations in Energy Landscapes and Why It Matters.
- Aspects of Information Processing: Information Flow in Synergetic Computers.
- The Quantum Mechanical Computer.
- Complementarity of Structure and Dynamics.
- Information and Dynamical Systems.
- On Boltzmann Entropy and Coarse — Graining for Classical Dynamical Systems.
- Algorithmic Information Content, Church — Turing Thesis, Physical Entropy, and Maxwell’s Demon.
- The Entropy Creation Necessary to Perform a Measurement and to Reset It.
- Information Theoretical Aspects of Quantum Mechanical Entropy.
- Dynamical Entropy for Infinite Quantum Systems.
- Quantum Chaos in Open Systems.
- A Dynamical System Approach to Quantum Mechanics with Imaginary Time.
- Do Quantum Particles Travel in Real Space Time? Experimental Evidence and Theoretical Implications.
- What Happens During a Quantum Transition?.
- Epilogue: Dualities, Context, and Meaning.
- Participants.