Michael Timothy Bennett

School of Computing, Australian National University · Functionalist

Michael Timothy Bennett investigates the foundations of consciousness and artificial general intelligence from the standpoint of complex systems theory and formal mathematical modeling. Based at the School of Computing at the Australian National University, his research addresses the hard problem of consciousness by examining how subjective experience emerges from the self-organizing dynamics of embodied organisms.

Collaborating with researchers including Sean Welsh and Anna Ciaunica on foundational papers such as “Why Is Anything Conscious?”, Bennett develops formal principles showing that consciousness is not an incidental computational add-on, but an intrinsic consequence of how living systems navigate survival. In Bennett’s framework, biological agents must interpret sensory data through qualitative valence, evaluating inputs as intrinsically advantageous or detrimental to their continuing persistence.

His work on emergent causality and the psychophysical principle of causality seeks to establish rigorous mathematical boundaries between mere functional simulation and genuine phenomenal experience. In examining how to construct conscious machines, Bennett argues that synthetic architectures must incorporate self-referential valuation loops and thermodynamic grounding rather than relying solely on feedforward pattern recognition.

Known for. Mathematical foundations of emergent causality, valence-driven self-organization, and 'Why Is Anything Conscious?'

Coverage on this site

Every researcher covered on this site is indexed in the directory of consciousness researchers, grouped by the position their published work defends. The positions themselves are set out in the index of consciousness theories.