mlsanityData to 7 Oct 2026

The Physics of Preference: Unravelling Imprecision of Human Preferences through Magnetisation Dynamics

arXiv 2310.00267 ↗First posted 30 Sep 2023physics.soc-ph cond-mat.other cs.AIcited by 5

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Abstract (arXiv)

Paradoxical decision-making behaviours such as preference reversal often arise from imprecise or noisy human preferences. Harnessing the physical principle of magnetisation reversal in ferromagnetic nanostructures, we developed a model that closely reflects human decision-making dynamics. Tested against a spectrum of psychological data, our model adeptly captures the complexities inherent in individual choices. This blend of physics and psychology paves the way for fresh perspectives on understanding the imprecision of human decision-making processes, extending the reach of the current classical and quantum physical models of human behaviour and decision-making.

Key facts. Cited by 5 papers in the map (data through 7 Oct 2026). Builds on 7 of its 99 references that are in the map. First posted on arXiv 30 Sep 2023.

Builds on

7 of 99 references.

References · 7

  1. 2021A Long Short-Term Memory for AI Applications in Spike-based Neuromorphic Hardwarecited by 32
  2. 2023Analogue and Physical Reservoir Computing Using Water Wavescited by 16
  3. 2021Mathematical foundations of moral preferencescited by 15
  4. 2022A perspective on physical reservoir computing with nanomagnetic devicescited by 12
  5. 2022A Planck Radiation and Quantization Scheme for Human Cognition and Languagecited by 8
  6. 2022Human Perception as a Phenomenon of Quantizationcited by 6
  7. 2021A maximum entropy model of bounded rational decision-making with prior beliefs and market feedbackcited by 5

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 2; 2025: 2; 2026: 1.

5 papers.