Nanochaos and quantum information for a physical theory of evolvable semantic automata

The concept of "automaton" in its historical development, from the earlier attempts to mimic motions of men and animals to the recent ambitious goals of designing and building biomimetic, i.e. evolvable and self-reproducing machines, is very briefly outlined to stress the physical and logical differences between such conceptions and the main features through which we are able at present to-identify and describe biosystems. It is argued that the merely "syntactic" aspect of information processing that is shared by all such approaches can hardly be considered biomimetic on the basis of evolutionary physics of biosystems and of their "semantic" and "pragmatic" information processing capabilities, that can stem from their structure function (i.e. hardware - software) hierarchical dynamics from the nanometre (classical and quantum) up to the macroscopic (thermodynamic) level and make set-theoretic logic and Shannon-like information two stumbling blocks for a physical interpretation of life, evolution and biological intelligence. A classical and quantum nanoscale approach to the biophysical problem of describing the biosystems structure - function solidarity and its evolutionary properties beyond Godelian and self-reference paradoxes is discussed as a path toward a physical theory of biomimetic evolvable automata which is based on nanochaos information processing through Hamiltonian and dissipative nonlinear dynamics, and on quantum coherence/entanglement. The envisaged nanostructured hierarchical "extralogical" and logical sequential architectures of such evolvable automata would be implemented through the emerging nanotechnological (nanoelectronic/supramolecular and nanomechanical) miniaturization capabilities.