1991 - Member of Academia Europaea
1990 - Max Planck Medal, German Physical Society
1982 - German National Academy of Sciences Leopoldina - Deutsche Akademie der Naturforscher Leopoldina – Nationale Akademie der Wissenschaften Physics
1976 - Max Born Medal and Prize, German Physical Society, Institute of Physics
Synergetics, Statistical physics, Complex system, Phase transition and Quantum mechanics are his primary areas of study. The Synergetics study combines topics in areas such as Epistemology, Structure, Cognitive science and Management science. His studies deal with areas such as Non-equilibrium thermodynamics, Brain activity and meditation, Order and Nonlinear system as well as Statistical physics.
Complex system is a subfield of Artificial intelligence that Hermann Haken tackles. His research integrates issues of Interpretation and Pattern recognition in his study of Artificial intelligence. His Phase transition study integrates concerns from other disciplines, such as Amplitude, Movement, Oscillation and Coupling.
His main research concerns Synergetics, Statistical physics, Complex system, Classical mechanics and Quantum mechanics. His studies deal with areas such as Management science, Cognitive science, Artificial intelligence, Pattern recognition and Epistemology as well as Synergetics. His Artificial intelligence study focuses on Artificial neural network in particular.
Hermann Haken interconnects Non-equilibrium thermodynamics, Phase transition, Distribution function and Nonlinear system in the investigation of issues within Statistical physics. His research on Classical mechanics frequently connects to adjacent areas such as Instability. His work in Laser and Quantum are all subfields of Quantum mechanics research.
His main research concerns Synergetics, Cognitive science, Cognition, Pattern recognition and Artificial intelligence. The various areas that Hermann Haken examines in his Synergetics study include Management science, Epistemology, Scientific law, Perception and Complex system. His work on Complex system is being expanded to include thematically relevant topics such as Self-organization.
Hermann Haken works mostly in the field of Self-organization, limiting it down to topics relating to Statistical physics and, in certain cases, Phase transition, Nonlinear system, State space, State variable and Function, as a part of the same area of interest. Hermann Haken studied Pattern recognition and Human–computer interaction that intersect with Dynamics. His Artificial intelligence study combines topics from a wide range of disciplines, such as Adaptation and Pattern recognition.
His primary areas of investigation include Synergetics, Artificial neural network, Self-organization, Complex system and Artificial intelligence. His Synergetics study incorporates themes from Structural theory, Cognition, Cognitive science, Epistemology and Systems theory. His Self-organization research is multidisciplinary, incorporating elements of Management science, Scientific law, Statistical physics, Western philosophy and Evolutionism.
His Statistical physics study combines topics in areas such as Non-equilibrium thermodynamics, Phase transition and Chemistry. His Complex system research integrates issues from Information science, Chaos theory, Quantum, Probabilistic logic and Entropy. His Artificial intelligence research focuses on subjects like Human–computer interaction, which are linked to Dynamics.
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Synergetics: An Introduction
A theoretical model of phase transitions in human hand movements
H. Haken;J. A. S. Kelso;J. A. S. Kelso;H. Bunz.
Biological Cybernetics (1985)
Synergetics: An Introduction. Nonequilibrium Phase Transitions and Self- Organization in Physics, Chemistry and Biology
Information and Self-Organization: A Macroscopic Approach to Complex Systems
American Journal of Physics (2010)
Stochastic resonance without external periodic force.
Hu Gang;Hu Gang;T. Ditzinger;C. Z. Ning;H. Haken.
Physical Review Letters (1993)
Information and Self-Organization
Advanced Synergetics: Instability Hierarchies of Self-Organizing Systems and Devices
Analogy between higher instabilities in fluids and lasers
Physics Letters A (1975)
A stochastic theory of phase transitions in human hand movement
G Schöner;H Haken;J A S Kelso;J A S Kelso.
Biological Cybernetics (1986)
Information and Self-Organization
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