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)
Study at a glance
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.
Citations in the library
Cites 6
- Why Does Space Feel the Way it Does? Towards a Principled Account of Spatial Experience Entropy November 27, 2019
- Computing integrated information. Neuroscience of Consciousness 2017
- Integrated information theory: from consciousness to its physical substrate. Nature Reviews Neuroscience July 2016
- Consciousness: here, there and everywhere? Philosophical Transactions of the Royal Society B: Biological Sciences May 19, 2015
- From the Phenomenology to the Mechanisms of Consciousness: Integrated Information Theory 3.0 PLoS Comput. Biol. May 1, 2014
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