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Conscious Causality, Observer-Observed Simultaneity, and the Problem of Time for Integrated Information Theory.

John Sanfey

Entropy (Basel, Switzerland) July 30, 2024 DOI: 10.3390/e26080647 (opens in new tab)

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AI-extracted from the abstract
Characteristics Theoretical or philosophical paper Peer reviewed
Keywords Abstract realism Causality Consciousness Integrated information theory Meaning Mind-matter relationship Observer–observed simultaneity Quantum mind Time
Key points Argues that Integrated Information Theory's focus on spatial structures rather than temporal events introduces a conceptual flaw, and that incorporating the temporal simultaneity of experiencer and experienced can resolve the hard problem of consciousness.

Abstract

Without proven causal power, consciousness cannot be integrated with physics except as an epiphenomenon, hence the term 'hard problem'. Integrated Information Theory (IIT) side-steps the issue by stating that subjective experience must be identical to informational physical structures whose cause-and-effect power is greater than the sum of their parts. But the focus on spatially oriented structures rather than events in time introduces a deep conceptual flaw throughout its entire structure, including the measure of integrated information, known as Φ (phi). However, the problem can be corrected by incorporating the temporal feature of consciousness responsible for the hard problem, which can ultimately resolve it, namely, that experiencer and experienced are not separated in time but exist simultaneously. Simultaneous causation is not possible in physics, hence the hard problem, and yet it can be proven deductively that consciousness does have causal power because of this phenomenological simultaneity. Experiencing presence makes some facts logically possible that would otherwise be illogical. Bypassing the hard problem has caused much of the criticism that IIT has attracted, but by returning to its roots in complexity theory, it can repurpose its model to measure causal connections that are temporally rather than spatially related.