ABSTRACT
Dynamicism (DST) is a theoretical framework and language which enables understanding embodied and situated cognition. The mathematical basis of DST is the mathematical theory of dynamical systems. Neuronal dynamics with attractors make it possible to understand how neural networks may be linked to sensory input. A central concept of DST is that the dynamical systems which nervous systems form, together with their coupling to the sensory and motor systems, are best characterized by their attractor states. Dynamical systems with convergent vector fields that may form attractors represent a special class of dynamical systems, sometimes referred to as “dissipative” systems. DST suggests a view in which an organism and its nervous system are immersed in complex structured environments, endowed with a history that has left its traces. Immersion and history together structure a huge, complex dynamical system.
