For those who like their humor droll, deadpan, and hysterically funny, Pattern Behavior features more than 100 vintage McCall's patterns--with captions that will leave you in stitches. Feeling nostalgic for your grandmother's old sewing patterns? Stitch some humor into your distant childhood with Pattern Behavior, featuring vintage covers from the McCall Pattern Company's archives. Based on the popular Tumblr blog, this droll comic collection brings the McCall's models back to life -- in a way you haven't seen before! Combining retro fashion and modern wit, Pattern Behavior shines a light on the outdated social ideals of yesteryear--all with a big dose of humor.

Publisher Description

foreword by Hermann Haken For the past twenty years Scott Kelso's research has focused on extending the physical concepts of self- organization and the mathematical tools of nonlinear dynamics to understand how human beings (and human brains) perceive, intend, learn, control, and coordinate complex behaviors. In this book Kelso proposes a new, general framework within which to connect brain, mind, and behavior.Kelso's prescription for mental life breaks dramatically with the classical computational approach that is still the operative framework for many newer psychological and neurophysiological studies. His core thesis is that the creation and evolution of patterned behavior at all levels--from neurons to mind--is governed by the generic processes of self-organization. Both human brain and behavior are shown to exhibit features of pattern-forming dynamical systems, including multistability, abrupt phase transitions, crises, and intermittency. Dynamic Patterns brings together different aspects of this approach to the study of human behavior, using simple experimental examples and illustrations to convey essential concepts, strategies, and methods, with a minimum of mathematics. Kelso begins with a general account of dynamic pattern formation. He then takes up behavior, focusing initially on identifying pattern-forming instabilities in human sensorimotor coordination. Moving back and forth between theory and experiment, he establishes the notion that the same pattern-forming mechanisms apply regardless of the component parts involved (parts of the body, parts of the nervous system, parts of society) and the medium through which the parts are coupled. Finally, employing the latest techniques to observe spatiotemporal patterns of brain activity, Kelso shows that the human brain is fundamentally a pattern forming dynamical system, poised on the brink of instability. Self-organization thus underlies the cooperative action of neurons that produces human behavior in all its forms.

Examines beliefs and values generally shared by the Japanese and the importance they place on social interactions, relationships, and proper conduct.

As models and paradigms, patterns have been helping to orient architects since the Middle Ages. But patterns are also the basis of the history of ornament, an aesthetic phenomenon that links all times and cultures at a fundamental level. Ornament – and hence pattern as well – was abolished by the avant-garde in the first half of the twentieth century, but the notion of pattern has taken on new meaning and importance since the 1960s. Complexity research has ultimately shown that even highly complex, dynamic patterns may be based on simple behavioral rules, and that has allowed the notions of pattern and pattern formation to take on new meanings, that are also central for architecture. Today the use of generative computerized methods is opening up new ways of talking about an idea that is becoming increasingly abstract and dynamic. Pattern explores the question: what are the notions of pattern that must be discussed in the context of contemporary architecture?

This project was inspired in the sixties by primatologist D. Morris’s “The Naked Ape”, Niko Tinbergen, K. Lorenz, and K. von Frisch ethological research rewarded in 1973 by a shared Nobel Prize in Medicine or Physiology and E. O. Wilson’s 1975 opus “Sociobiology”. Other important inspirations were B. F. Skinner’s work on probabilistic real-time contingencies, N. Chomsky’s on syntactic structure and creativity, H. Montagner’s on interactions in social insects and children, S. Duncan’s on turn-taking in human dyadic interactions, and Richard Dawkins’ on behavioral hierarchy and detection algorithms. Structured animal mass-societies (>104 individuals) are only found in insects and modern humans and understanding their similarities and differences became a major aim through a search for hidden interaction patterns. Existing multivariate and artificial neural network methods and models lacked adequate description and detection of complex real-time patterns requiring new mathematical time structure (1-D) models, now the T-system, with detection algorithms and software (THEME™).

A major objective of this monograph is to present an agent-based simulation of artificial populations. The focus is on possible unexpected or catastrophic events that may spontaneously appear in simulations. A short recall of the tenets of the theory of catastrophes is given. Several examples of artificial society simulations are provided as the main topic of the book. With agent-based modeling, possible catastrophes and unexpected events in artificial populations are simulated. The book presents a new modeling and simulation tool, applied to social system simulation. The models are coded in the object- and agent-oriented language Bluesss (Blues Simulation System), related to the C++ language. The program code consists of a series of generic declarations of processes. Each of them includes a number of events that are coded in C++. At the runtime, a population of objects is generated. All the objects (agents) start to execute their own events, and interact with one another. During the simulations it is possible to observe the macro-behavior of the population, where some unexpected or "catastrophic" events occur. The examples include a stock market crash, catastrophes in extended prey–predator systems, growing organisms and cancer, epidemics, social inequality and economic decay, mass-service systems, and more. Remarks on possible simultaneous events are also included.