Short works

Books : reviews

Daniel L. Stein, ed.
Lectures in the Sciences of Complexity.
Addison Wesley. 1989


David K. Campbell. An Introduction to Nonlinear Dynamics. 1989
Alan C. Newell. The Dynamics and Analysis of Patterns. 1989
Guenter Ahlers. Experiments on Bifurcations and One-Dimensional Patterns in Nonlinear Systems Far from Equilibrium. 1989
Jay E. Mittenthal. Physical Aspects of the Organization of Development. 1989
Richard G. Palmer. Broken Ergodicity. 1989
Disordered Systems: Mostly Spin Glasses. 1989
Peter G. Wolynes. Chemical Reaction Dynamics in Complex Molecular Systems. 1989
B. L. McNaughton. Neurobiology of Spatial Computation and Learning. 1989
Richard G. Palmer. Neural Nets. 1989
John Henry Holland. Using Classifier Systems to Study Adaptive Nonlinear Networks. 1989
Marcus W. Feldman. Dynamical Systems from Evolutionary Population Genetics. 1989
Stuart A. Kauffman. Adaptation on Rugged Fitness Landscapes. 1989
Stuart A. Kauffman. Principles of Adaptation in Complex Systems. 1989
W. Brian Arthur. The Economy and Complexity. 1989
Erica Jen. Limit Cycles in One-Dimensional Cellular Automata. 1989
Daniel L. Stein, Richard G. Palmer. Glasses I: Phenomenology. 1989
Richard G. Palmer, Daniel L. Stein. Glasses II: Models for Glassy Relaxation. 1989
Charles H. Bennett. Computational Measures of Physical Complexity. 1989
Y. C. Lee. Neural Networks and Collective Computing. 1989
Yaotian Fu. The Use and Abuse of Statistical Mechanics in Computational Complexity. 1989
E. Ann Stanley. Mathematical Models of the AIDS Epidemic: An Historical Perspective. 1989
Z. Hasan. Biomechanical Complexity and the Control of Movement. 1989

Lynn Nadel, Daniel L. Stein, eds.
1993 Lectures in Complex Systems.
Addison Wesley. 1995


S. N. Coppersmith. Complex Structures and Dynamics in Condensed Matter Systems. 1995
Catherine A. Macken, Peter F. Stadler. Evolution on Fitness Landscapes. 1995
Bartlett Mel. Information Processing in Dendritic Trees. 1995
B. Kean Sawhill. Self-Organized Criticality and Complexity Theory. 1995
Olaf Sporns. Neural Models of Perception and Behavior. 1995
Randall Tagg. Instabilities and the Origin of Complexity in Fluid Flows. 1995
Kurt Thearling. Massively Parallel Architectures and Algorithms for Time Series Analysis. 1995
Eric J. Anderson. Numerical Investigations of the Krugman Population Model. 1995
Philip E. Auerswald, Jan Tai Tsung Kim. Transitional Dynamics in a Model of Economic Geography. 1995
Ann M. Bell. Dynamically Interdependent Preferences in a Lattice Economy. 1995
Rajarshi Das. Evolution in Cellular Automata Rule Space. 1995
Gyongyi Gadl. Prediction of External Stimuli from Neuronal Responses. 1995
Liane M. Gabora. Meme and Variations: A Computational Model of Cultural Evolution. 1995
Maureane Hoffman, William Fortin, Arjendu K. Pattanayak, Douglas M. Monroe. Blood Coagulation is a Complex System. 1995
Jan Tai Tsung Kim. Using Distance Distributions to Measure Complexity of Populations. 1995
James E. Kittock. Emergent Conventions and the Structure of Multiagent Systems. 1995
Jose Lobo. Stochastic Fluctuations, Noise-Induced Transitions, and the Blowtorch Theorem: Does Noise Matter in Economics. 1995
Brett McDonnel. An Introductory Note on the Krugman Spatial Model. 1995
Arjendu K. Pattanayak, Alfred Hubler. Cellular Automata with Changing Radii: A Model for Intraspecific Computation in Plant Populations. 1995
S. L. Pepke. Dynamical Models of Earthquake Faults and Forecasting in Complex Systems. 1995
William Sulis. Driven Cellular Automata. 1995
Manfred Tacker, Peter F. Stadler. RNA: Genotype and Phenotype. 1995
Patrick Tufts. Parallel Case Evaluation for Genetic Programming. 1995
Ken Umeno. Singular Point. Analysis and Nonintegrable Hamiltonian Systems. 1995
Andreas Wagner. Reductionism in Evolutionary Biology: A Perceptional Artifact?. 1995

H. Fred Nijhout, Lynn Nadel, Daniel L. Stein, eds.
Pattern Formation in the Physical and Biological Sciences.
Addison-Wesley. 1997


Alan C. Newell. The Dynamics and Analysis of Patterns. 1989
H. Fred Nijhout. Pattern and Process. 1997
Aviv Bergman. Self-Organization by Simulated Evolution. 1990
Leif H. Finkel. Limiting Assumptions in Models of Somatotopic Map Organization. 1991
Walter Fontana. Functional self-organization in complex systems. 1991
Raymond E. Goldstein. Nonlinear Dynamics of Pattern Formation in Physics and Biology. 1993
Charles M. Gray. Synchronous Oscillations in Neuronal Systems: Mechanisms and Functions. 1994
Bernardo A. Huberman, Tad Hogg. The Emergence of Computational Ecologies. 1993
Erica Jen. Preimages and Forecasting for Cellular Automata. 1990
Joel L. Lebowitz, Christian Maes, E. R. Speer. Probablistic Cellular Automata: Some Statistical Mechanical Considerations. 1990
Wentian Li. Nonlocal Cellular Automata. 1992
H. Fred Nijhout. Pattern Formation in Biological Systems. 1992
Carla J. Shatz. Impulse Activity and the Patterning of Connections During CNS Development. 1990
Wing Yim Tam. Pattern formation in chemical systems: roles of open reactors. 1991
Neil A. Gershenfeld, Andreas S. Weigend. The Future of Time Series: Learning and Understanding. 1994

Lynn Nadel, Daniel L. Stein, eds.
1990 Lectures in Complex Systems.
Addison Wesley. 1991


Walter Fontana. Functional self-organization in complex systems. 1991
Wing Yim Tam. Pattern formation in chemical systems: roles of open reactors. 1991
Charles R. Doering. Modeling complex systems: stochastic processes, stochastic differential equations, and Fokker-Planck equations. 1991
Bruce Bayly. Complexity in fluids. 1991
Sidney R. Nagel. Experimental analysis of disordered systems. 1991
Joseph F. Traub, H. Wozniakowski. Theory and applications of information-based complexity. 1991
Andrew G. Barto. Some learning tasks from a control perspective. 1991
Z. Hasan. Moving a human or robot arm with many degrees of freedom: issues and ideas. 1991
Timothy R. Thomas, Mychael Trong Vo. Control of tongue movement dynamics. 1991
Leif H. Finkel, Gerald M. Edelman. Models of somatotopic map organization. 1991
Richard E. Michod. Sex and evolution. 1991
Mark E. Nelson, James M. Bower. Dynamics of neural excitability. 1991
M. A. V. Gremillion. Linking structure and function: information processing in the brain. 1991
Hans B. Sieburg. Physiological studies in silico. 1991
Andre Longtin. Nonlinear dynamics of neural delayed feedback. 1991
Stuart A. Kauffman. Random grammars: a new class of models for functional integration and transformation in the biological, neural, and social sciences. 1991
Andreas S. Weigend, Bernardo A. Huberman, David E. Rumelhart. Forecasting chaotic computational ecosystems. 1991
Russel E. Caflisch. Singularities for complex hyperbolic equations. 1991
Kevin Atteson. An overview of the minimum description length principle. 1991
Joseph L. Breeden, Alfred Hubler. Equations of motion from data with hidden variables. 1991
John C. Crepeau. Spectral entropy and self-organization. 1991
Daniel R. Greening. Asynchronous parallel simulated annealing. 1991
J. A. Hoffnagle, L. G. Reyna, J. R. Sobehart. Dynamics of a trapped ion driven by stochastic optical processes. 1991
Jan E. Hutson. Undecidability in an adaptive system. 1991
Jerome Losson. Bifurcations and chaos in a paradigm equation for delayed mixed feedback. 1991
Nicholas Provatas. Asymptotic periodicity in one-dimensional maps. 1991
Albert J. Wong. Theme and variations: spin glasses, neural networks, and prebiotic evolution. 1991

Daniel L. Stein, Charles M. Newman.
Spin Glasses and Complexity.
Princeton University Press. 2013

Spin glasses arc disordered magnetic systems that have led to the development of mathematical tools with an array of real-world applications, from airline scheduling to neural networks. Spin Glasses and Complexity offers the most concise, engaging, and accessible introduction to the subject, fully explaining what spin glasses are, why they arc important, and how they are opening up new ways of thinking about complexity.

This one-of-a-kind guide to spin glasses begins by explaining the fundamentals of order and symmetry in condensed matter physics and how spin glasses fit into—and modify—this framework. It then explores how spin-glass concepts and ideas have found applications in areas as diverse as computational complexity, biological and artificial neural networks, protein folding, immune response maturation, combinatorial optimization, and social network modeling.

Providing an essential overview of the history, science, and growing significance of this exciting field, Spin Classes and Complexity also features a forward-looking discussion of what spin glasses may teach us in the future about complex systems. This is a must-have book for students and practitioners in the natural and social sciences, with new material even for the experts.