INFORMATION OR LOGIC IN MODELING CONSCIOUS SYSTEMS

This paper aligns recent developments on information integration and consciousness with work on axiomatic systems. Axiomatic models are usually implemented as weightless neural structures. It is argued that weightless approaches lead to a logic-based interpretation of the information generated by the states of a network. Learning of phenomenal states is raised as a necessary additional requirement before one can link integration to consciousness.