James P. Crutchfield
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Physics
James P. Crutchfield's Degrees
- PhD Physics University of California, Berkeley
- Masters Physics University of California, Berkeley
- Bachelors Physics University of California, Berkeley
Why Is James P. Crutchfield Influential?
(Suggest an Edit or Addition)According to Wikipedia, James P. Crutchfield is an American mathematician and physicist. He received his B.A. summa cum laude in physics and mathematics from the University of California, Santa Cruz, in 1979 and his Ph.D. in physics there in 1983. He is currently a professor of physics at the University of California, Davis, where he is director of the Complexity Sciences Center—a new research and graduate program in complex systems. Prior to this, he was research professor at the Santa Fe Institute for many years, where he ran the Dynamics of Learning Group and SFI's Network Dynamics Program. From 1985 to 1997, he was a research physicist in the physics department at the University of California, Berkeley. He has been a visiting research professor at the Sloan Center for Theoretical Neurobiology, University of California, San Francisco; a postdoctoral fellow of the Miller Institute for Basic Research in Science at UCB; a UCB physics department IBM postdoctoral fellow in condensed matter physics; a distinguished visiting research professor of the Beckman Institute at the University of Illinois, Urbana-Champaign; and a Bernard Osher Fellow at the San Francisco Exploratorium.
James P. Crutchfield's Published Works
Number of citations in a given year to any of this author's works
Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
Published Works
- Geometry from a Time Series (1980) (3605)
- The calculi of emergence: computation, dynamics and induction (1994) (775)
- Neutral evolution of mutational robustness. (1999) (596)
- Revisiting the Edge of Chaos: Evolving Cellular Automata to Perform Computations (1993) (492)
- Computational Mechanics: Pattern and Prediction, Structure and Simplicity (1999) (471)
- Quantum automata and quantum grammars (1997) (409)
- Evolving cellular automata to perform computations: mechanisms and impediments (1994) (373)
- Regularities unseen, randomness observed: levels of entropy convergence. (2001) (372)
- Measures of statistical complexity: Why? (1998) (369)
- Fluctuations and simple chaotic dynamics (1982) (354)
- Equations of Motion from a Data Series (1987) (347)
- The evolution of emergent computation. (1995) (309)
- Low-dimensional chaos in a hydrodynamic system (1983) (254)
- Noise phenomena in Josephson junctions (1980) (239)
- Computation at the Onset of Chaos (1991) (227)
- Symbolic dynamics of noisy chaos (1983) (217)
- Is anything ever new?: considering emergence (1999) (209)
- A Genetic Algorithm Discovers Particle-Based Computation in Cellular Automata (1994) (192)
- Chaotic States of Anharmonic Systems in Periodic Fields (1979) (191)
- Evolving Globally Synchronized Cellular Automata (1995) (184)
- Between order and chaos (2011) (172)
- Statistical Dynamics of the Royal Road Genetic Algorithm (1999) (164)
- Computational mechanics of cellular automata: an example (1997) (161)
- ON DETERMINING THE DIMENSION OF CHAOTIC FLOWS (1981) (156)
- The organization of intrinsic computation: complexity-entropy diagrams and the diversity of natural information processing. (2008) (153)
- Scaling for External Noise at the Onset of Chaos (1981) (148)
- Dynamics, computation, and the “edge of chaos”: a re-examination (1993) (145)
- Fluctuations and the onset of chaos (1980) (137)
- The attractor—basin portrait of a cellular automaton (1992) (134)
- Phenomenology of Spatio-Temporal Chaos (1987) (134)
- Coupled replicator equations for the dynamics of learning in multiagent systems. (2002) (134)
- Metastable evolutionary dynamics: Crossing fitness barriers or escaping via neutral paths? (1999) (132)
- Structural information in two-dimensional patterns: entropy convergence and excess entropy. (2002) (126)
- Thermodynamic depth of causal states: Objective complexity via minimal representations (1999) (125)
- Power spectral analysis of a dynamical system (1980) (124)
- Anatomy of a Bit: Information in a Time Series Observation (2011) (122)
- Turbulent pattern bases for cellular automata (1993) (121)
- Finite populations induce metastability in evolutionary search (1997) (121)
- Exotic states in a simple network of nanoelectromechanical oscillators (2019) (119)
- Time's barbed arrow: irreversibility, crypticity, and stored information. (2009) (119)
- Evolutionary dynamics : exploring the interplay of selection, accident, neutrality, and function (2003) (113)
- Statistical complexity of simple one-dimensional spin systems (1997) (109)
- Prediction, Retrodiction, and the Amount of Information Stored in the Present (2009) (106)
- Information Flows? A Critique of Transfer Entropies (2015) (101)
- POWER SPECTRA AND MIXING PROPERTIES OF STRANGE ATTRACTORS (1980) (100)
- An Algorithm for Pattern Discovery in Time Series (2002) (99)
- Information and Its Metric (1990) (95)
- Symbolic dynamics of one-dimensional maps: Entropies, finite precision, and noise (1982) (87)
- Introduction to focus issue: intrinsic and designed computation: information processing in dynamical systems--beyond the digital hegemony. (2010) (83)
- Evolving cellular automata to perform computations (1997) (83)
- Identifying functional thermodynamics in autonomous Maxwellian ratchets (2015) (80)
- Stability and diversity in collective adaptation (2004) (79)
- Resource sharing and coevolution in evolving cellular automata (1999) (77)
- Mechanisms of Emergent Computation in Cellular Automata (1998) (75)
- The Evolutionary Design of Collective Computation in Cellular Automata (1998) (72)
- The quasi-periodic oscillations and very low frequency noise of Scorpius X-1 as transient chaos - A dripping handrail? (1993) (71)
- Intersection Information Based on Common Randomness (2013) (70)
- Inferring Markov chains: Bayesian estimation, model comparison, entropy rate, and out-of-class modeling. (2007) (65)
- Optimizing Epochal Evolutionary Search: Population-Size Dependent Theory (1998) (63)
- Multivariate Dependence Beyond Shannon Information (2016) (61)
- Chaos Forgets and Remembers: Measuring Information Creation, Destruction, and Storage (2013) (58)
- Computational Mechanics of Input–Output Processes: Structured Transformations and the $$\epsilon $$ϵ-Transducer (2014) (58)
- Evolving two-dimensional cellular automata to perform density classification: A report on work in progress (2001) (55)
- Upper bound on the products of particle interactions in cellular automata (2000) (55)
- Occam’s Quantum Strop: Synchronizing and Compressing Classical Cryptic Processes via a Quantum Channel (2015) (55)
- Bayesian Structural Inference for Hidden Processes (2013) (54)
- Thermodynamics of Modularity: Structural Costs Beyond the Landauer Bound (2018) (53)
- Observing Complexity and the Complexity of Observation (1994) (53)
- Embedded-Particle Computation in Evolved Cellular Automata (1996) (49)
- Objects that make objects: the population dynamics of structural complexity (2004) (49)
- Discovering planar disorder in close-packed structures from x-ray diffraction: Beyond the fault model (2002) (49)
- Computing the topological entropy of maps (1983) (48)
- Maxwell Demon Dynamics: Deterministic Chaos, the Szilard Map, and the Intelligence of Thermodynamic Systems. (2015) (48)
- Discovering Noncritical Organization: Statistical Mechanical, Information Theoretic, and Computational Views of Patterns in One-Dimensional Spin Systems (1998) (48)
- Semantics and Thermodynamics (1992) (45)
- Fluctuation Spectroscopy (1993) (45)
- The Evolutionary Unfolding of Complexity (1999) (45)
- Optimal causal inference: estimating stored information and approximating causal architecture. (2007) (44)
- Synchronization and Control in Intrinsic and Designed Computation: An Information-Theoretic Analysis of Competing Models of Stochastic Computation (2010) (43)
- Exact Synchronization for Finite-State Sources (2010) (43)
- Exact Complexity: The Spectral Decomposition of Intrinsic Computation (2013) (41)
- Leveraging Environmental Correlations: The Thermodynamics of Requisite Variety (2016) (41)
- The Past and the Future in the Present (2010) (41)
- Minimized state complexity of quantum-encoded cryptic processes (2016) (40)
- Correlation-powered Information Engines and the Thermodynamics of Self-Correction (2016) (40)
- dit: a Python package for discrete information theory (2018) (40)
- From finite to infinite range order via annealing: the causal architecture of deformation faulting in annealed close-packed crystals (2003) (38)
- Information Bottlenecks, Causal States, and Statistical Relevance Bases: How to Represent Relevant Information in memoryless transduction (2000) (37)
- Causal Asymmetry in a Quantum World (2017) (36)
- Unique information via dependency constraints (2017) (35)
- Asymptotic Synchronization for Finite-State Sources (2010) (35)
- Space-time dynamics in video feedback (1984) (35)
- How Hidden are Hidden Processes? A Primer on Crypticity and Entropy Convergence (2011) (34)
- Global Seismic Nowcasting With Shannon Information Entropy (2019) (34)
- Knowledge and Meaning: Chaos and Complexity (1992) (33)
- Time resolution dependence of information measures for spiking neurons: scaling and universality (2015) (33)
- Chaotic Crystallography: How the physics of information reveals structural order in materials (2014) (31)
- Reconstructing Language Hierarchies (1991) (31)
- Information accessibility and cryptic processes (2009) (31)
- Many Roads to Synchrony: Natural Time Scales and Their Algorithms (2010) (30)
- Transient Dissipation and Structural Costs of Physical Information Transduction (2016) (29)
- Informational and Causal Architecture of Discrete-Time Renewal Processes (2014) (29)
- Dynamical embodiments of computation in cognitive processes (1998) (29)
- Hierarchical Self-Organization in the Finitary Process Soup (2006) (28)
- Infinite Excess Entropy Processes with Countable-State Generators (2011) (28)
- Informational and Causal Architecture of Continuous-time Renewal Processes (2016) (28)
- Information Symmetries in Irreversible Processes (2011) (27)
- Synchronizing to the Environment: Information-Theoretic Constraints on Agent Learning (2001) (27)
- Attractor vicinity decay for a cellular automaton. (1993) (27)
- Patterns of patterns of synchronization: Noise induced attractor switching in rings of coupled nonlinear oscillators. (2016) (26)
- The Hidden Fragility of Complex Systems— Consequences of Change, Changing Consequences (2020) (26)
- ε-Machine spectral reconstruction theory: a direct method for inferring planar disorder and structure from X-ray diffraction studies. (2013) (25)
- Persistent chaos in high dimensions. (2005) (25)
- Koopman operator and its approximations for systems with symmetries. (2019) (25)
- Structure and Randomness of Continuous-Time, Discrete-Event Processes (2017) (25)
- Predictive Rate-Distortion for Infinite-Order Markov Processes (2016) (25)
- Computation in Finitary Stochastic and Quantum Processes (2006) (24)
- Spatio-temporal complexity in nonlinear image processing (1988) (24)
- Nearly Maximally Predictive Features and Their Dimensions (2017) (23)
- Enumerating Finitary Processes (2010) (22)
- Information Anatomy of Stochastic Equilibria (2014) (21)
- What Lies Between Order and Chaos? (2003) (21)
- The ambiguity of simplicity in quantum and classical simulation (2017) (21)
- Fluctuations When Driving Between Nonequilibrium Steady States (2016) (21)
- What did Erwin mean? The physics of information from the materials genomics of aperiodic crystals and water to molecular information catalysts and life (2015) (21)
- The dreams of theory (2014) (21)
- Synchronizing to Periodicity: the Transient Information and Synchronization Time of Periodic Sequences (2002) (20)
- Complex Dynamical Networks Constructed with Fully Controllable Nonlinear Nanomechanical Oscillators. (2017) (20)
- Structure or Noise? (2007) (19)
- Intrinsic Quantum Computation (2006) (19)
- Local Causal States and Discrete Coherent Structures (2018) (19)
- Subbasins, portals, and mazes: Transients in high dimensions☆ (1988) (19)
- Hidden Markov Models for Automated Protocol Learning (2010) (18)
- Insects, Trees, and Climate: The Bioacoustic Ecology of Deforestation and Entomogenic Climate Change (2006) (18)
- Equivalence of History and Generator-Machines (2012) (18)
- Entomogenic Climate Change: Insect Bioacoustics and Future Forest Ecology (2009) (18)
- Discovering Coherent Structures in Nonlinear Spatial Systems (1992) (18)
- Extreme Quantum Advantage when Simulating Classical Systems with Long-Range Interaction (2017) (18)
- Nowcasting Earthquakes by Visualizing the Earthquake Cycle with Machine Learning: A Comparison of Two Methods (2021) (17)
- Design and Development of Bendway Weirs for the Dogtooth Bend Reach, Mississippi River (1994) (17)
- Statistical Signatures of Structural Organization: The case of long memory in renewal processes (2015) (16)
- Spectral Simplicity of Apparent Complexity, Part I: The Nondiagonalizable Metadynamics of Prediction (2017) (16)
- Unique Information and Secret Key Agreement (2018) (16)
- Unreconstructible at any radius (1992) (16)
- Thermodynamics of Random Number Generation (2016) (15)
- Inferring planar disorder in close-packed structures via epsilon-machine spectral reconstruction theory: structure and intrinsic computation in zinc sulfide. (2007) (15)
- Pairwise Correlations in Layered Close-Packed Structures (2014) (15)
- Strong and Weak Optimizations in Classical and Quantum Models of Stochastic Processes (2018) (15)
- Noise Scaling of Symbolic Dynamics Entropies (1982) (15)
- Nonequilibrium thermodynamics of erasure with superconducting flux logic (2019) (15)
- The Elusive Present: Hidden Past and Future Dependency and Why We Build Models (2015) (15)
- Optimized Bacteria are Environmental Prediction Engines (2018) (15)
- Shannon Entropy Rate of Hidden Markov Processes (2020) (14)
- Extreme Quantum Memory Advantage for Rare-Event Sampling (2017) (14)
- Reductions of Hidden Information Sources (2004) (14)
- Simplicity and complexity (2010) (14)
- Signatures of Infinity: Nonergodicity and Resource Scaling in Prediction, Complexity, and Learning (2015) (13)
- Design and Development of Bendway Weirs for the Dogtooth Bend Reach, Mississippi River: Hydraulic Model Investigation (1994) (13)
- DisCo: Physics-Based Unsupervised Discovery of Coherent Structures in Spatiotemporal Systems (2019) (13)
- Nowcasting Earthquakes:Imaging the Earthquake Cycle in California with Machine Learning (2021) (13)
- Harnessing Fluctuations in Thermodynamic Computing via Time-Reversal Symmetries (2019) (12)
- Functional thermodynamics of Maxwellian ratchets: Constructing and deconstructing patterns, randomizing and derandomizing behaviors (2020) (12)
- Spectral Simplicity of Apparent Complexity, Part II: Exact Complexities and Complexity Spectra (2017) (12)
- Pattern Discovery and Computational Mechanics (2000) (12)
- Order and disorder in open systems (2010) (12)
- Extreme Quantum Advantage for Rare-Event Sampling (2017) (12)
- Shortcuts to Thermodynamic Computing: The Cost of Fast and Faithful Erasure (2018) (12)
- Thermodynamic Depth of Causal States: When Paddling Around in Occam's Pool Shallowness Is a Virtue (1998) (12)
- Inferring the Dynamic, Quantifying Physical Complexity (1989) (12)
- Optimal Causal Inference (2007) (11)
- Measurement-induced randomness and structure in controlled qubit processes. (2019) (11)
- Critical Computation, Phase Transitions, and Hierarchical Learning (2001) (11)
- Inferring planar disorder in close-packed structures via ε-machine spectral reconstruction theory: examples from simulated diffraction patterns. (2013) (10)
- Beyond density matrices: Geometric quantum states (2020) (10)
- Prediction and Generation of Binary Markov Processes: Can a Finite-State Fox Catch a Markov Mouse? (2017) (10)
- Fraudulent White Noise: Flat power spectra belie arbitrarily complex processes (2019) (10)
- Balancing error and dissipation in computing (2019) (10)
- A Closed-Form Shave from Occam's Quantum Razor: Exact Results for Quantum Compression (2015) (9)
- Automated pattern detection - An algorithm for constructing optimally synchronizing multi-regular language filters (2004) (9)
- The Ambiguity of Simplicity (2016) (9)
- Discovering Causal Structure with Reproducing-Kernel Hilbert Space ε-Machines (2020) (9)
- The Origins of Computational Mechanics: A Brief Intellectual History and Several Clarifications (2017) (9)
- Extreme Quantum Advantage when Simulating Strongly Coupled Classical Systems (2016) (9)
- Introduction to focus issue on "randomness, structure, and causality: measures of complexity from theory to applications". (2011) (9)
- Thermodynamic Computing (2019) (8)
- Blending Art and Science: Collapse (suddenly falling down) (2010) (8)
- Evolving One Dimensional Cellular Automata to Perform Non-trivial Collective Behavior Task: One Case Study (2002) (8)
- Thermal Efficiency of Quantum Memory Compression (2019) (8)
- Equivalence of History and Generator Epsilon-Machines (2011) (8)
- Diffraction Patterns of Layered Close-packed Structures from Hidden Markov Models (2014) (8)
- Thermodynamic machine learning through maximum work production (2020) (8)
- Beyond the spectral theorem: Spectrally decomposing arbitrary functions of nondiagonalizable operators (2016) (8)
- Refining Landauer’s Stack: Balancing Error and Dissipation When Erasing Information (2020) (8)
- Anatomy of a Spin: The Information-Theoretic Structure of Classical Spin Systems (2015) (8)
- Divergent Predictive States: The Statistical Complexity Dimension of Stationary, Ergodic Hidden Markov Processes (2021) (8)
- Dripping handrails and the quasi-periodic oscillations of the AM Herculis objects (1994) (7)
- Language Diversity of Measured Quantum Processes (2006) (7)
- Understanding microbialite morphology using a comprehensive suite of three-dimensional analysis tools. (2011) (7)
- Structural Drift: The Population Dynamics of Sequential Learning (2010) (7)
- Circumventing the Curse of Dimensionality in Prediction: Causal Rate-Distortion for Infinite-Order Markov Processes (2014) (7)
- Computation in Sofic Quantum Dynamical Systems (2007) (7)
- Information Accessibility and Cryptic Processes: Linear Combinations of Causal States (2009) (6)
- Minimum memory for generating rare events. (2016) (6)
- Computation in Finitary Quantum Processes (2006) (6)
- Geometric Quantum State Estimation (2020) (5)
- Shortcuts to Thermodynamic Computing: The Cost of Fast and Faithful Information Processing (2022) (5)
- Geometric quantum thermodynamics. (2020) (5)
- Erratum: Low-dimensional chaos in a hydrodynamic system (Physical Review Letters (1983) 51, 19, (1814)) (1983) (5)
- Not All Fluctuations are Created Equal: Spontaneous Variations in Thermodynamic Function (2016) (5)
- Statistical Measures of Complexity: Why? (1997) (4)
- Primordial Evolution in the Finitary Process Soup (2007) (4)
- Homeostatic and adaptive energetics: Nonequilibrium fluctuations beyond detailed balance in voltage-gated ion channels. (2022) (4)
- Above and Beyond the Landauer Bound: Thermodynamics of Modularity (2017) (4)
- G 1 . 15 : Computer Science Application : Evolving Cellular Automata to Perform Computations (2001) (4)
- Modes of Information Flow (2018) (4)
- Thermodynamically-efficient local computation and the inefficiency of quantum memory compression (2020) (4)
- Optimal instruments and models for noisy chaos. (2007) (4)
- Entomogenic Climate Change (2008) (4)
- A Physics-Based Approach to Unsupervised Discovery of Coherent Structures in Spatiotemporal Systems (2017) (3)
- Complexity: Order contra Chaos (1989) (3)
- Nonequilibrium statistical mechanics and optimal prediction of partially-observed complex systems (2022) (3)
- Inventory of River Training Structures in Shallow-Draft Waterways (1989) (3)
- Branching States as The Emergent Structure of a Quantum Universe (2022) (3)
- Quantum Information Dimension and Geometric Entropy (2021) (3)
- Ambiguity rate of hidden Markov processes (2021) (3)
- Properties of Koopman operator and its approximations for dynamical systems with symmetries. (2018) (3)
- Non-Markovian Momentum Computing: Universal and Efficient (2020) (3)
- Trimming the Independent Fat: Sufficient Statistics, Mutual Information, and Predictability from Effective Channel States (2017) (3)
- Modes of information flow in collective cohesion (2020) (3)
- Correlated structural evolution within multiplex networks (2020) (3)
- Prediction and Dissipation in Nonequilibrium Molecular Sensors: Conditionally Markovian Channels Driven by Memoryful Environments (2020) (3)
- Inferring Pattern and Disorder in Close-Packed Structures from X-ray Diffraction Studies, Part II: Structure and Intrinsic Computation in Zinc Sulphide (2003) (3)
- Nowcasting Earthquakes: Imaging the Earthquake Cycle in California With Machine Learning (2021) (3)
- Inference, Prediction, & Entropy-Rate Estimation of Continuous-Time, Discrete-Event Processes (2020) (2)
- Variations on a Demonic Theme: Szilard's Other Engines (2020) (2)
- A Perspective on Unique Information: Directionality, Intuitions, and Secret Key Agreement (2018) (2)
- Non-Markovian momentum computing: Thermodynamically efficient and computation universal (2021) (2)
- Information trimming: Sufficient statistics, mutual information, and predictability from effective channel states (2017) (2)
- Topology, Convergence, and Reconstruction of Predictive States (2021) (2)
- Memoryless Thermodynamics? A Reply (2015) (2)
- Gigahertz Sub-Landauer Momentum Computing (2022) (2)
- Algebraic Theory of Patterns as Generalized Symmetries (2022) (2)
- Balancing Error and Dissipation in Highly-Reliable Computing (2019) (2)
- Spacetime Autoencoders Using Local Causal States (2020) (2)
- Towards Unsupervised Segmentation of Extreme Weather Events (2019) (2)
- Szilard Engines as Quantum Thermodynamical Systems (2020) (2)
- Inferring Pattern and Disorder in Close-Packed Structures from X-ray Diffraction Studies, Part I: epsilon-Machine Spectral Reconstruction Theory (2003) (2)
- Macaques preferentially attend to visual patterns with higher fractal dimension contours (2019) (2)
- Turbulent Landscapes: A Dialogue (1996) (2)
- Informational and Causal Architecture of Continuous-time Renewal and Hidden Semi-Markov Processes (2016) (2)
- Structure and Randomness of Continuous-Time, Discrete-Event Processes (2017) (2)
- Spacetime Symmetries, Invariant Sets, and Additive Subdynamics of Cellular Automata (2018) (1)
- Trajectory Class Fluctuation Theorem (2022) (1)
- Mixed States of Hidden Markov Processes and Their Presentations: What and how to calculate (2013) (1)
- A Whale With A History: Sighting Twain The Humpback Over Three Decades (2022) (1)
- Unexplained helium film effect with microwave dielectric resonators (1980) (1)
- The Thermodynamic Uncertainty Theorem (2022) (1)
- Extreme Quantum Advantage when Simulating Classical Systems with Long-Range Interaction (2017) (1)
- Erratum: Between order and chaos (2013) (1)
- How the Dimension of Space Affects the Products of Pre-Biotic Evolution: The Spatial Population Dynamics of Structural Complexity and The Emergence of Membranes (2010) (1)
- Prediction and Power in Molecular Sensors: Uncertainty and Dissipation When Conditionally Markovian Channels Are Driven by Semi-Markov Environments (2017) (1)
- Twainspotting: Identity Revealed During a Simple, but Extended Conversation with a Humpback Whale (2023) (1)
- Computational Mechanics: Natural Computation and Self-organization (2009) (1)
- Anatomy of a Bit : Information in a Time Series Measurement (1)
- Optimality and Complexity in Measured Quantum-State Stochastic Processes (2022) (1)
- Time Symmetries of Memory Determine Thermodynamic Efficiency (2021) (1)
- Does the Catalog of California Earthquakes, With Aftershocks Included, Contain Information About Future Large Earthquakes? (2022) (1)
- Infinite Correlation in Measured Quantum Processes (2006) (1)
- E 98 , 012408 ( 2018 ) Optimized bacteria are environmental prediction engines (2018) (1)
- Title Time resolution dependence of information measures for spiking neurons : Scaling and universality Permalink (2015) (0)
- Based Approach to Unsupervised Discovery of Coherent Structures in Spatiotemporal Systems Permalink (2017) (0)
- A Genet ic Algori thm Discovers Part ic le-Based Computat ion in Cellular A u t o m a t a (0)
- Nonequilibrium Statistical Mechanics of Optimally Predicting Partially Observed Complex Systems (2022) (0)
- POWER SPECTRALANALYSISOF A DYNAMICAL SYSTEM (1980) (0)
- Understanding and Designing Complex Systems: Response to "A framework for optimal high-level descriptions in science and engineering - preliminary report" (2014) (0)
- Preface : Dynamics of Evolutionary Processes (0)
- Title Comment on " Simple Measure of Complexity " Permalink (2008) (0)
- Macaques preferentially attend to visual patterns with higher fractal dimension contours (2019) (0)
- Project DisCo: Physics-Based Discovery of Coherent Structures in Spatiotemporal Systems (2018) (0)
- Fluctuations When Driving Between Nonequilibrium Steady States (2017) (0)
- How Random is a Coin Toss? Bayesian Inference and the Symbolic Dynamics of Deterministic Chaos (2006) (0)
- Is there a best way to measure? Perhaps: maximizing ephemeral information suggests the coarsest generating partition. (2018) (0)
- Make The Population Dynamics of Structural Complexity (2006) (0)
- Forgetting and Remembering in Chaotic Dynamical Systems (2014) (0)
- Leveraging Environmental Correlations: The Thermodynamics of Requisite Variety (2017) (0)
- The Dynamics of Learning and the Emergence of Distributed Adaption (2006) (0)
- Informational and Causal Architecture of Continuous-time Renewal Processes (2017) (0)
- Extreme Quantum Advantage for Rare-Event Sampling Cina Aghamohammadi (2017) (0)
- Title Causal asymmetry in a quantum world (2019) (0)
- The role of fluctuations in dynamical systems modeling (0)
- Thermodynamics of Random Number Genera 5 on Cina Aghamohammadi (2016) (0)
- Evolving cellular automata to perform computations. Final technical report (1998) (0)
- Edited by Carlos Gershenson COMPLEXITY AT LARGE–19.4 CHAOS FORGETS AND REMEMBERS (2014) (0)
- Back Matter (1969) (0)
- Reversibility in Quantum Models of Stochastic Processes (2016) (0)
- MEASURING INFORMATION CREATION, DESTRUCTION, AND STORAGE (2022) (0)
- Whale Casting: Remote mobile streaming humpback whale vocalizations to the world (2022) (0)
- Intrinsic and Measured Information in Separable Quantum Processes (2023) (0)
- Earthquake and Tsunami Nowcasting and Forecasting Using Shannon Information Theory (2019) (0)
- Intrinsic Transfer Entropy (2017) (0)
- ECA 18 Temporal Decay 6 . 1 Hamming Vicinity Decay (0)
- Correction to: Predictive Rate-Distortion for Infinite-Order Markov Processes (2021) (0)
- Transient Information and the Entropy Convergence Hierarchy (1999) (0)
- Toward a Physics of Pattern Focus Issue on “ Randomness , Structure , and Causality : Measures of Complexity from Theory to Applications ” (2011) (0)
- Physics-Informed Representation Learning for Emergent Organization in Complex Dynamical Systems (2023) (0)
- POWER SPECTRA AND MIXING PROPERTIES (1980) (0)
- Applied mathematics of chaotic systems (1996) (0)
- 18pRH-6 学習のダイナミクスとcoupled replicator equation I (2001) (0)
- Probabilistic Deterministic Finite Automata and Recurrent Networks, Revisited (2019) (0)
- Nonequilibrium Thermodynamics in Measuring Carbon Footprints: Disentangling Structure and Artifact in Input-Output Accounting (2021) (0)
- Beyond the Digital Hegemony A Focus Issue on “ Intrinsic and Designed Computation : Information Processing in Dynamical Systems ” (2010) (0)
- Using Conspecific Playbacks to Investigate Contact Calling in Southeast Alaskan Humpback Whales (2021) (0)
- Evolutionary Computation in Practice: Case Studies (1997) (0)
- 99 07 00 1 v 2 6 D ec 1 99 9 Comment on “ Simple Measure for Complexity ” (2022) (0)
- Books Received (2004) (0)
- Towards a bolometric measurement of the heat of erasure in superconducting logic (2019) (0)
- Prediction and Dissipation in Nonequilibrium Molecular Sensors: Conditionally Markovian Channels Driven by Memoryful Environments (2020) (0)
- Shannon Information Content of Earthquake Sequences:Application to Nowcasting and Forecasting (2018) (0)
- Workshop on Information Engines at the Frontiers of Nanoscale Thermodynamics (2017) (0)
- Geometric Learning Algorithms Geometric Learning Algorithms (1990) (0)
- Optimizing Quantum Models of Classical Channels: The Reverse Holevo Problem (2017) (0)
- Occam's Quantum Strop (2016) (0)
- Discovering Coherent Structures Using Local Causal States (2017) (0)
- NEMS (Nanoelectromechanicsl Systems) Networks: A Novel Validation Platform for Controlling Interconnected Dynamical Networks (2015) (0)
- Predictive Rate-Distortion for Infinite-Order Markov Processes (2016) (0)
- Islands in the Gap: Intertwined Transport and Localization in Structurally Complex Materials (2017) (0)
- Structural Complexity in Linguistic Systems Research Topic 3: Mathematical Sciences (2015) (0)
- Embedded-Particle Computation in Evolved Cellular Automata Wim Hordijk (0)
- Correction to: Predictive Rate-Distortion for Infinite-Order Markov Processes (2021) (0)
- Turbulent landscapes (1996) (0)
- A Processing Automaton for Intensive Data (2001) (0)
- Exploring Predictive States via Cantor Embeddings and Wasserstein Distance (2022) (0)
- Publisher's Note: Inferring Markov chains: Bayesian estimation, model comparison, entropy rate, and out-of-class modeling [Phys. Rev. E 76, 011106 (2007)] (2007) (0)
- Network and Phase Symmetries Reveal That Amplitude Dynamics Stabilize Decoupled Oscillator Clusters (2020) (0)
- Statistical Complexity of Neural Spike Trains (2014) (0)
- Classical and Quantum Factors of Channels (2017) (0)
- Patterns of synchronization, broken symmetries, and attractor switching in a ring of nanoelectromechanical oscillators (2018) (0)
- The Functional Thermodynamics of Finite-State Maxwellian Ratchets (2020) (0)
- Five Questions on Complexity : Responses (2008) (0)
- Thermodynamically-Efficient Local Computation: Classical and quantum information reservoirs and generators (2020) (0)
- A Critique of Transfer Entropies (2016) (0)
- Computational Mechanics of Coherent Structures in Spatiotemporal Systems (2016) (0)
- Complexity-calibrated Benchmarks for Machine Learning Reveal When Next-Generation Reservoir Computer Predictions Succeed and Mislead (2023) (0)
- Intrinsic Information Processing and Energy Dissipation in Stochastic Input-Output Dynamical Systems (2015) (0)
- The Markov Memory for Generating Rare Events (2016) (0)
- Automated Pattern Detection (2021) (0)
- Title Statistical Complexity of Simple 1 D Spin Systems Permalink (2008) (0)
- InformatIon In DynamIcal SyStemS anD complex SyStemS Summer 2013 WorkShop (2013) (0)
- First and Second Laws of Information Processing by Nonequilibrium Dynamical States (2022) (0)
- A P HYSICS -B ASED A PPROACH TO U NSUPERVISED D ISCOVERY OF C OHERENT S TRUCTURES IN S PATIOTEMPORAL S YSTEMS (2017) (0)
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