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Communication Dans Un Congrès Année : 2024

From Classical Rationality to Quantum Cognition

Pierre Uzan
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  • IdHAL : pierre-uzan

Résumé

This article highlights the difficulties of "classical" rationality, grounded on classical set-based logic and classical probability calculus, and explains how they can be overcome. Classical rationality may have gone some way towards realizing the age-old project of mechanizing thought, thus making possible the dazzling development of artificial intelligence we are witnessing. However, as shown from experimental data, it suffers from many biases that make it incapable of reliably modeling mental processes. This article shows that mental processes can be more reliably modelled within a generalized probability theory grounded on the vector formalism of quantum theory. The reason is that such a quantum-like approach to cognition is capable of accounting for the contextual, order and nterference effects inherent to most of mental processes. An important consequence of this necessary shift, from classical to quantum cognition, is that Bayes’ rule, which plays a fundamental role in categorization tasks, must be replaced by a generalized probabilistic rule capable of accounting for order effects. It is shown that implementing this new probabilistic rule could significantly improve the current deep learning algorithms of artificial emotional intelligence.
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Dates et versions

hal-04540742 , version 1 (10-04-2024)

Identifiants

Citer

Pierre Uzan. From Classical Rationality to Quantum Cognition. Human and Artificial Rationality, Jean Baratgin et Baptiste Jacquet, Sep 2023, PARIS, France. pp.190-209, ⟨10.1007/978-3-031-55245-8_13⟩. ⟨hal-04540742⟩
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