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Why Can the Brain (and Not a Computer) Make Sense of the Liar Paradox?

Patrick Fraser, Ricard Sole, Gemma de Las Cuevas

Frontiers in Ecology and Evolution December 20, 2021 DOI: 10.3389/fevo.2021.802300 (opens in new tab)

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AI-extracted from the abstract
Characteristics Theoretical or philosophical paper Peer reviewed
Keywords Self-reference Cognition Consciousness Computation Causal structure Integrated information theory
Key points Proposes that the Strange Loop Model, featuring causal feedback between two brain modules, can explain how the brain handles self-reference without logical paradoxes by unfolding inconsistencies in time.

Abstract

Ordinary computing machines prohibit self-reference because it leads to logical inconsistencies and undecidability. In contrast, the human mind can understand self-referential statements without necessitating physically impossible brain states. Why can the brain make sense of self-reference? Here, we address this question by defining the Strange Loop Model, which features causal feedback between two brain modules, and circumvents the paradoxes of self-reference and negation by unfolding the inconsistency in time. We also argue that the metastable dynamics of the brain inhibit and terminate unhalting inferences. Finally, we show that the representation of logical inconsistencies in the Strange Loop Model leads to causal incongruence between brain subsystems in Integrated Information Theory.

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