Bellman-optimal Decisions and Expert Intuition

Engineers and other professionals believe in rationality and seek to make optimal choices most of the time. Their expert intuition is developed over years of education and practice, enhanced by various decision-support tools. Yet being human, they are prone to emotional biases leading away from the best judgement and action. Here we report statistically significant deviations from the Bellman optimality principle by participants in a lab experiment about managing an abstract production system. We find that when the supply of a key resource diminishes and people are surrounded by others in the same position, they perform below a weak form of the Bellman-optimal criterion. In contrast, one's choices become much more successful when additional expert information is made available.

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Publication Details

Journal
Proceedings of the Bulgarian Academy of Sciences
Published
2025-05-28
DOI
https://doi.org/10.7546/crabs.2025.05.07
Primary Topic
AI-based Problem Solving and Planning
Type
article
Field-Weighted Citation Impact
0.00

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article

Bellman-optimal Decisions and Expert Intuition

George Mengov, Ilia Atanasov, Anton Gerunov
Proceedings of the Bulgarian Academy of Sciences
AI-based Problem Solving and Planning
article

Bellman-optimal Decisions and Expert Intuition

George Mengov, Ilia Atanasov, Anton Gerunov
article en

Abstract

Engineers and other professionals believe in rationality and seek to make optimal choices most of the time. Their expert intuition is developed over years of education and practice, enhanced by various decision-support tools. Yet being human, they are prone to emotional biases leading away from the best judgement and action. Here we report statistically significant deviations from the Bellman optimality principle by participants in a lab experiment about managing an abstract production system. We find that when the supply of a key resource diminishes and people are surrounded by others in the same position, they perform below a weak form of the Bellman-optimal criterion. In contrast, one's choices become much more successful when additional expert information is made available.

Proceedings of the Bulgarian Academy of SciencesVol. 78(5)
Sofia University "St. Kliment Ohridski" (BG)
European Commission
Openalex Percentile: Top 94%
AI-based Problem Solving and Planning
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