All you ever wanted to ask about Dynamic Field Theory
Abstract
\section{How does the mind emerge from the brain? } A neural process theory of cognition is one of the central goals l of cognitive science. Connectionism was developed in pursuit of that goal leading to a range of proposed frameworks such as LISA and DORA \cite{DoumasEtAl2022}, SPAUN \cite{StewartEliasmith2012} and many others \cite{KotserubaTsotso2020}. The rise of neural AI reframes the question of how neural accounts may reach higher cognition \cite{SmolenskyEtAl2022,OReillyEtAl2022}. But what is meant by neural process theory ? Which neural principles would form the basis for such a theory? And what is it a theory of? What properties of cognition must such a theory address? Dynamic Field Theory (DFT) gives specific answers to these questions, postulating that the dynamics of neural populations are the level of neural processing that most closely reflects the laws of cognition. It emphasizes the emergence of cognition from the sensory-motor domain, so that a theory of cognition must address both acting and thinking.