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HYPERSET MODELS OF SELF, WILL AND REFLECTIVE CONSCIOUSNESS

Ben Goertzel

International Journal of Machine Consciousness June 1, 2011 DOI: 10.1142/s1793843011000601 (opens in new tab)

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AI-extracted from the abstract
Characteristics Theoretical or philosophical paper Peer reviewed
Citations 8
Key points Proposes that reflective consciousness, will, and self can be modeled using self-referential mathematical structures called hypersets, and argues via pattern theory that these structures may be considered parts of the minds of physical systems, including finite computational systems. The author hypothesizes these hyperset models occur as patterns within the 'moving bubble of attention' of the human brain and brainlike AI, and contends they are compatible with panpsychist, materialist, and probably other views of consciousness.

Abstract

A novel theory of reflective consciousness, will and self is presented, based on modeling each of these entities using self-referential mathematical structures called hypersets. Pattern theory is used to argue that these exotic mathematical structures may meaningfully be considered as parts of the minds of physical systems, even finite computational systems. The hyperset models presented are hypothesized to occur as patterns within the ”moving bubble of attention ” of the human brain and any brainlike AI system. They appear to be compatible with both panpsychist and materialist views of consciousness, and probably other views as well. 1

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