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For a number of years, researchers in many areas of psychology have adopted a dynamical approach to studying psychological phenomena. In short, such an approach assumes that the system under study is complex, continually changing, and self-organizing. As a result, specialized mathematical and statistical tools are required to understand such systems. Using such tools, researchers in neuroscience, cognitive psychology, development, motor control, and social psychology (to name a few subareas of psychology) have made important progress toward understanding complex psychological phenomena. Among the strengths of a dynamical approach to psychology is the promise to explain complex psychological phenomena without many of the pitfalls that have driven a historical wedge between psychology and the biological and physical sciences (e.g., a homunculus, genetic or motor programs). Moreover, the dynamical approach may allow for a dramatic reframing of some of the classic “unsolvable ” dichotomies in psychology (e.g., nature vs. nurture, free will vs. determinism, mind vs. body) such that these dichotomies become significantly less problematic or (perhaps) dissolve completely. Thus, such an approach promises to bring explanations of psychological phenomena into greater congruence with th