Decision field theory has its roots in the dynamic precepts of William James and more specifically in the field and motivational concepts of Kurt Lewin. These concepts provide for a mathematical foundation leading to a dynamic, stochastic theory of decision behavior in an uncertain environment. It is proposed that the theory is more compatible with motivational and psychological phenomena than many alternative theories, a number of which are based within a rather static and ideal subjective expected utility (SEU) framework. Several classic paradoxes in decision-making are explained in a natural way by decision field theory. Furthermore, the theory covers a broader range of phenomena in greater detail while remaining competitive with other accounts with regard to parameterization. Finally, a number of well known earlier theories are shown to be special cases of the decision field theory when suitable restrictions are placed on its parameters.