Abstract
ABSTRACTThe existence of biological information systems is generally taken as given in discussions of their function. However, any theory of such systems must be considered incomplete unless it can also explain how the system comes to exist. This article describes the ways in which complex functional systems in general can be created through design, self-assembly and evolution. The differences and relationship between physical and informational entities, organization, processes and dimensionality are also discussed. Through comparison with information technologies, whose origins we understand, conclusions are drawn concerning the creation of functional biological neural networks: specifically, that this involves the self-assembly of information entities into a number of strongly emergent levels of organization. Finally, potential approaches are considered to overcome the hurdles to scientific investigation of emergent information-based systems and the processes by which they are created.
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