Statistical physics, Theoretical computer science, Entropy, Attractor and Cellular automaton are his primary areas of study. His Statistical physics study integrates concerns from other disciplines, such as Function, Chaotic and Quantum mechanics, Dissipative system. James P. Crutchfield interconnects Collaborative learning, Intermittency and Information processing in the investigation of issues within Theoretical computer science.
His Entropy study combines topics in areas such as Dynamical systems theory, Randomness and Mathematical optimization. James P. Crutchfield has researched Attractor in several fields, including Dynamical system, Turbulence, Spectral density and Correlation dimension. The various areas that James P. Crutchfield examines in his Cellular automaton study include Genetic algorithm and Computation.
His scientific interests lie mostly in Statistical physics, Theoretical computer science, Dynamical systems theory, Computation and Entropy. James P. Crutchfield combines Statistical physics and Computational mechanics in his research. James P. Crutchfield works mostly in the field of Theoretical computer science, limiting it down to topics relating to Cellular automaton and, in certain cases, Genetic algorithm and Nonlinear system.
His Dynamical systems theory research incorporates themes from Chaotic and Attractor. His research in Computation intersects with topics in Topology and Dissipation. His Entropy study combines topics from a wide range of disciplines, such as Discrete mathematics, Randomness and Mutual information.
His main research concerns Statistical physics, Stochastic process, Quantum, Dissipation and Computation. His Statistical physics research incorporates elements of Entropy rate, Complex system, Erasure, Entropy and Hidden Markov model. The Entropy rate study combines topics in areas such as Ideal gas and Chaotic.
His Stochastic process study incorporates themes from Measure and Markov model. His study focuses on the intersection of Computation and fields such as Topology with connections in the field of Conjecture, Quantum computer and Modularity. The concepts of his Randomness study are interwoven with issues in Algorithm and Spectral density.
James P. Crutchfield mainly focuses on Statistical physics, Entropy, Measure, Stochastic process and Complex system. His studies in Statistical physics integrate themes in fields like Entropy rate, Non-equilibrium thermodynamics, Reduction, Erasure and Structure. In general Entropy study, his work on Shannon information entropy often relates to the realm of Geographic regions, thereby connecting several areas of interest.
His Measure research integrates issues from Dynamical systems theory, PID controller, Topology and Complex network. His Stochastic process research includes themes of Quantum, Symbolic dynamics and Hidden Markov model. His study in Complex system is interdisciplinary in nature, drawing from both Complex dynamics, Flexibility, Coherence and Coupling.
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Geometry from a Time Series
N. H. Packard;J. P. Crutchfield;J. D. Farmer;R. S. Shaw.
Physical Review Letters (1980)
Inferring statistical complexity.
James P. Crutchfield;Karl Young.
Physical Review Letters (1989)
The calculi of emergence: computation, dynamics and induction
James P. Crutchfield.
Physica D: Nonlinear Phenomena (1994)
Neutral evolution of mutational robustness.
Erik van Nimwegen;James P. Crutchfield;Martijn Huynen.
Proceedings of the National Academy of Sciences of the United States of America (1999)
Equations of Motion from a Data Series.
James P. Crutchfield;Bruce S. McNamara.
Complex Systems (1987)
Revisiting the Edge of Chaos: Evolving Cellular Automata to Perform Computations
Melanie Mitchell;Peter T. Hraber;James P. Crutchfield.
Complex Systems (1993)
Fluctuations and simple chaotic dynamics
J.P. Crutchfield;J.D. Farmer;B.A. Huberman.
Physics Reports (1982)
Computational Mechanics: Pattern and Prediction, Structure and Simplicity
Cosma Rohilla Shalizi;Cosma Rohilla Shalizi;James P. Crutchfield.
Journal of Statistical Physics (2001)
Quantum automata and quantum grammars
Cristopher Moore;James P. Crutchfield.
Theoretical Computer Science (2000)
Evolving cellular automata to perform computations: mechanisms and impediments
Melanie Mitchell;James P. Crutchfield;Peter T. Hraber.
Physica D: Nonlinear Phenomena (1994)
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