Dr Moisl has been developing a strictly sequential natural language understanding architecture that dispenses with two foundational principles of generative linguistics, mainstream cognitive science, and much of artificial intelligence—that natural language strings have complex syntactic structure processed by structure-sensitive algorithms, and that this structure is crucial in determining string semantics. This sequential architecture was originally stated in terms of standard automata theory as a system of cooperating finite state automata, but more recently I have become interested in neuroscientific work which identifies chaotic attractor trajectory in state space as the fundamental principle of brain function at a level above that of the individual neuron, and which indicates that sensory processing, and perhaps higher cognition more generally, are implemented by cooperating attractor sequence processes. Some relevant publications are: