[1] |
Chaos and Complexity |

[2] |
The Chaos Revolution |

[3] |
Complex Dynamical Systems |

[4] |
Dynamics of Hyperspace |

[5] |
The Dynamics of Synchronization and Phase Regulation |

[6] |
The Genesis of Complexity |

[7] |
The Geometry of the Soul |

[8] |
Landscape Dynamics, Complex Dynamics, and Agent Based Models |

[9] |
Sacred Mathematics and the Chaos Revolution |

[10] |
Social Synergy Models |

[11] |
A Stairway to Chaos |

[12] |
Dynamical Systems: A Visual Introduction |

[13] |
Adaptive Cognitive Systems |

[14] |
Self Organization and Chaos in Collective Phenomena |

[15] |
Large-scale agent-based models |

[16] |
Dynamics of massive multiagent economies |

[17] |
NetLogo User's Guide |

[18] |
NetLogo 2.1.0 User Manual |

[19] |
Complexity / Art and Complex Systems |

[20] |
Evolutionary Systems and Semantics of Information |

[21] |
n-Dimensional Visualization |

[22] |
Aspects on Data Analysis and Visualization for Complex Dynamical Systems |

[23] |
Visualizing Complexity in Networks |

[24] |
Complexity and Robustness |

[25] |
Computational Complexity |

[26] |
The Computational Complexity Column |

[27] |
Lecture Notes on Computational Complexity |

[28] |
Interdisciplinary application of nonlinear time series methods |

[29] |
Numerical Mathematics |

[30] |
A proposed name for aperiodic brain activity: stochastic chaos |

[31] |
Complexity in Biological Signaling Systems |

[32] |
Measurements of brain activity complexity for varying mental loads |

[33] |
Modelling of cognitive complexity with Petri nets |

[34] |
Structural, Functional and
Dynamic Modules. Department of Biophysics |

[35] |
Consciousness: Scientific Challenge of the 21st Century |

[36] |
Consciousness and Complexity |

[37] |
Journal of Accelerated Learning and Teaching |

[38] |
The Structure of Intelligence: A New Mathematical Model of Mind |

[39] |
Complexity - Dependent Synchronization of Brain Subsystems During Memorization |

[40] |
Ultimate Computing: Biomolecular Consciousness and NanoTechnology |

[41] |
Basic Concepts in Nonlinear Dynamics and Chaos |

[42] |
Catastrophe Theory |

[43] |
Simple Connectivity and Linear Chaos |

[44] |
Deterministic Nonperiodic Flow. |

[45] |
Bifurcation structure of the generalized Henon map |

[46] |
What kinds of dynamics are there? Lie pseudogroups, dynamical systems, and geometric integration |

[47] |
Overview of complexity and decidability results for three classes of elementary nonlinear systems |

[48] |
Estimating generating partitions of chaotic systems by unstable periodic orbits |

[49] |
Interactive Visualization of Quaternion Julia Sets |

[50] |
Designing agent-based market models |

[51] |
Toward Agent-Based Models for Investment |

[52] |
The Building Blocks of Complexity: a unified criterion and selected applications in economics and finance |

[53] |
Complexity and the Economy |

[54] |
Multifractal Analysis and Local Hoelder Exponents Approach to Detecting Stock Markets Crashes |

[55] |
Economics: the next physical science? |

[56] |
Advanced Modeling, Visualization, and Data Mining Techniques for a New Risk Landscpape |

[57] |
A Multifractal Model of Asset Returns |

[58] |
Ten years of genetic fuzzy systems: current framework and new trends |

[59] |
Adaptive Resonance Theory (ART): An Introduction |

[60] |
Adaptive Resonance Theory |

[61] |
Adaptive Resonance Theory |

[62] |
Artificial Neural Networks Technology |

[63] |
Computational Learning Theory: Lecture Notes for CS 582. Department of Computer Science
Washington University |

[64] |
Computational Learning Theory for Artificial Neural Networks. |

[65] |
Functional Learning with Wavelets |

[66] |
Genetic Algorithm Dynamics on a Rugged Landscape |

[67] |
Hybrid Soft Computing Systems: Where Are We Going? |

[68] |
An Introduction to Neural Nets |

[69] |
An Introduction to Kernal-Based Learning Algorithms |

[70] |
Neuro–Fuzzy Rule Generation: Survey in Soft Computing Framework |

[71] |
Progress in Supervised Neural Networks |

[72] |
A Tutorial on Support Vector Machines. |

[73] |
Algebraic Topology |

[74] |
Natural Operations in Differential Geometry |

[75] |
Information Theory, Inference, and Learning Algorithms |

[76] |
Machine Learning, Neural and Statistical Classification |

[77] |
Neural Network Toolbox For Use with MATLAB |

[78] |
Calculus Volume II: Mlulti-Variable Calculus and Linear Algebra, with Applications to Differential Equations and Probability |

[79] |
Ordinary differential equations and Dynamical Systems |

[80] |
Complexity and synchronization of the World trade Web |

[81] |
Statistical Mechanics of Networks |

[82] |
Dynamics of Social Networks |

[83] |
Emergence of a Small World from Local Interactions: Modeling Acquaintance Networks |

[84] |
Some Streams of Systemic Thought |

[85] |
Synchronization in Complex Dynamical Networks and Its Applications |

[86] |
One Hundred Years of Quantutm Physics |

[87] |
Classical Chaos and its Quantum Manifestations |

[88] |
A Short Histtory of the Missing Mass and Dark Energy Paradigms |

[89] |
Hilbert's First Note on the Foundation of Physics |

[90] |
Early History of Gauge Theories and Kaluza-Klein: Theories, with a Glance at Recent Developments |

[91] |
Why Magnetized Target Fusion Offers A Low-Cost Development Path for Fusion Energy |

[92] |
Notes on Hilbert Space. Department of Physics |

[93] |
A Historical Perspective on the Topology and Physics of Hyperspace |

[94] |
Progress in Post-Quantum Theory |

[95] |
What Is The Universe Made Of? |

[96] |
Zero Point Energy |

[97] |
Artificial Neural Net Attractors |

[98] |
Routes to Chaos in Neural Networks with Random Weights |

[99] |
Elementary Chaotic Flow |

[100] |
Simplest Dissipative Chaotic Flow |

[101] |
Complex systems under stochastic dynamics |

[102] |
Statistical mechanics of complex networks |

[103] |
Stochastic Calculus Notes |

[104] |
Phase-Space Transport of Stochastic Chaos in Population Dynamics of Virus Spread |

[105] |
An Introduction To Stochastic Differential Equations |

[106] |
The stable manifold theorem for non-linear stochastic systems with memory |

[107] |
From Chaos to Cryptography |

[108] |
Chaos, Complexity, and Accident |

[109] |
Scale Analysis by the Continuous Wavelet Transform |

[110] |
Defining Complexity |

[111] |
An Introduction to Wavelets |

[112] |
Nonlinear Science 2001/2002 Catalogue |