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Consciousness and Complexity: Neurobiological Naturalism and Integrated Information Theory

Francesco Ellia, Robert Chis-Ciure

preprint DOI: 10.31234/osf.io/nb9wg (opens in new tab)

Summary

AI-generated from the abstract

This paper compares two conceptual frameworks for explaining phenomenal experience: Neurobiological Naturalism (NN) and Integrated Information Theory (IIT). The authors first introduce both frameworks, then outline their analytical approach. They articulate philosophical profiles of NN and IIT, addressing each theory's ontological commitments and epistemological foundations. Finally, they compare the two frameworks point-by-point, including their respective positions on artificial consciousness. The analysis suggests that despite some similarities noted by proponents of NN, the two theories differ in significant ways.

Study at a glance

Characteristics Theoretical or philosophical paper
Key finding Compares and assesses Neurobiological Naturalism and Integrated Information Theory as conceptual frameworks for explaining phenomenal experience, including their stances on artificial consciousness.

Abstract

In this paper we take a meta-theoretical stance and aim to compare and assess two conceptual frameworks that endeavor to explain phenomenal experience. In particular, we compare Feinberg & Mallatt’s Neurobiological Naturalism (NN) and Tononi’s and colleagues Integrated Information Theory (IIT), given that the former pointed out some similarities between the two theories (Feinberg & Mallatt 2016c-d). To probe their similarity, we first give a general introduction into both frameworks. Next, we expound a ground-plan for carrying out our analysis. We move on to articulate a philosophical profile of NN and IIT, addressing their ontological commitments and epistemological foundations. Finally, we compare the two point-by-point, also discussing how they stand on the issue of artificial consciousness.

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