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haracterizing Human-like Consciousness: An Integrative Approach

B. Goertzel

Biologically Inspired Cognitive Architectures 2014 DOI: 10.1016/j.procs.2014.11.098 (opens in new tab)

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AI-extracted from the abstract
Characteristics Theoretical or philosophical paper Peer reviewed
Key points Proposes a unified model of human consciousness comprising six key properties, including dynamical representation of the focus of consciousness, focusing of energetic and informational resources, Global Workspace dynamics, Integrated Information, and correlation of attentional focus with self-modeling. Argues that the extent and relative importance of these properties may vary across states of consciousness, and that any AI system with closely human-like intelligence would need to manifest them. Sidesteps the "hard problem" by focusing on posited neural or cognitive correlates of subjective experience.

Abstract

Abstract Synthesizing concepts and findings from a number of recent models of human consciousness, a unified model of the key properties characterizing human consciousness is outlined. Six key properties are emphasized: Dynamical representation of the focus of consciousness, Focusing of energetic resources and focusing of informational resources on a subset of system knowledge, Global Workspace dynamics as outlined by Bernard Baars in his cognitive theory of consciousness, Integrated Information as emphasized by Tononi, and correlation of attentional focus with self-modeling . It is proposed that the extent, and relative importance, of these properties may vary in different states of consciousness; and that any AI system displaying closely human-like intelligence will need to manifest these properties in its consciousness as well. The “hard problem” of consciousness is sidestepped throughout, via focusing on structures and dynamics posited to serve as neural or cognitive correlates of subjective conscious experience.

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