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      The Limits to Machine Consciousness

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      Journal of Artificial Intelligence and Consciousness
      World Scientific Pub Co Pte Ltd

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          Abstract

          It is generally accepted that machines can replicate cognitive tasks performed by conscious agents as long as they are not based on the capacity of awareness. We consider several views on the nature of subjective awareness, which is fundamental for self-reflection and review, and present reasons why this property is not computable. We argue that consciousness is more than an epiphenomenon and assuming it to be a separate category is consistent with both quantum mechanics and cognitive science. We speak of two kinds of consciousness, little-C and big-C, and discuss the significance of this classification in analyzing the current academic debates in the field. The interaction between the system and the measuring apparatus of the experimenter is examined both from the perspectives of decoherence and the quantum Zeno effect. These ideas are used as context to address the question of limits to machine consciousness.

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          The Zeno’s paradox in quantum theory

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            Integrated information theory: from consciousness to its physical substrate.

            In this Opinion article, we discuss how integrated information theory accounts for several aspects of the relationship between consciousness and the brain. Integrated information theory starts from the essential properties of phenomenal experience, from which it derives the requirements for the physical substrate of consciousness. It argues that the physical substrate of consciousness must be a maximum of intrinsic cause-effect power and provides a means to determine, in principle, the quality and quantity of experience. The theory leads to some counterintuitive predictions and can be used to develop new tools for assessing consciousness in non-communicative patients.
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              Minds, brains, and programs

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                Author and article information

                Journal
                Journal of Artificial Intelligence and Consciousness
                J. AI. Consci.
                World Scientific Pub Co Pte Ltd
                2705-0785
                2705-0793
                March 2022
                December 28 2021
                March 2022
                : 09
                : 01
                : 59-72
                Affiliations
                [1 ]Oklahoma State University, Stillwater, OK 74078, USA
                Article
                10.1142/S2705078521500193
                01cdd019-9f0d-4538-a33b-d8abfed02fce
                © 2022
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