Nonlinear Dynamics, Psychology, and Life Sciences publishes articles that augment the fundamental ways we understand, describe, model and predict nonlinear phenomena in psychology and the life and social sciences. One or more of the following nonlinear concepts must be an explicit part of the exposition: attractors, bifurcations, chaos, fractals, solitons, catastrophes, self-organizing processes and emergence, power law distributions, cellular automata, agent-based models, genetic algorithms or related evolutionary processes, and social or neural networks. The broad mixture of the disciplines represented here indicates that many bodies of knowledge share common principles. By juxtaposing developments in different fields within the life and social sciences, the scientific communities may obtain fresh perspectives on those common principles and their implications.