Books

Short works

Books : reviews

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

Contents

• 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

Contents

• 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

Contents

• 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

Contents

• 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.