Towards an NP-Hard Model of Consciousness

Explore the computational implications of consciousness in this thought-provoking conference talk. Delve into the deflationary, normative account of consciousness as an illusion resulting from self-modeling of attentive processes. Examine the computational complexity classes required for such modeling and consider whether a self-modeling process or brain could support this level of computation. Analyze arguments surrounding the computability of cognition abilities and the NP-hardness of perceptive and cognitive phenomena. Investigate the conditions necessary for an intelligent system to be both conscious and implementable on a computer, addressing crucial questions about artificial intelligence and the scientific pursuit of understanding consciousness.