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.