SynthesisJournal of the Royal Society, Interface2024
Language-based game theory in the age of artificial intelligence.
Synthesis in Journal of the Royal Society, Interface, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Language-based game theory in the age of artificial intelligence.Journal of the Royal Society, Interface · 2024Pooled it
- Common thought patterns reflect generosity, fairness, and social context.Scientific reports · 2026Article
- A quantum-cognitive approach to dynamic meaning construction.Frontiers in psychology · 2026Article
- Evaluating the ability of large Language models to predict human social decisions.Scientific reports · 2025Article
- Testing for completions that simulate altruism in early language models.Nature human behaviour · 2025Article
- Indirect reciprocity in the public goods game with collective reputations.Journal of the Royal Society, Interface · 2025Article
- Fast nonlinear integration drives accurate encoding of input information in large multiscale systems.Communications physics · 2025Article
- Evolutionary mechanisms that promote cooperation may not promote social welfare.Journal of the Royal Society, Interface · 2024Article
- Emergence of cooperation in the one-shot Prisoner's dilemma through Discriminatory and Samaritan AIs.Journal of the Royal Society, Interface · 2024Article
- The impact of generative artificial intelligence on socioeconomic inequalities and policy making.PNAS nexus · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Understanding human behaviour in decision problems and strategic interactions has wide-ranging applications in economics, psychology and artificial intelligence. Game theory offers a robust foundation for this understanding, based on the idea that individuals aim to maximize a utility function. However, the exact factors influencing strategy choices remain elusive. While traditional models try to explain human behaviour as a function of the outcomes of available actions, recent experimental research reveals that linguistic content significantly impacts decision-making, thus prompting a paradigm shift from outcome-based to language-based utility functions. This shift is more urgent than ever, given the advancement of generative AI, which has the potential to support humans in making critical decisions through language-based interactions. We propose sentiment analysis as a fundamental tool for this shift and take an initial step by analysing 61 experimental instructions from the dictator game, an economic game capturing the balance between self-interest and the interest of others, which is at the core of many social interactions. Our meta-analysis shows that sentiment analysis can explain human behaviour beyond economic outcomes. We discuss future research directions. We hope this work sets the stage for a novel game-theoretical approach that emphasizes the importance of language in human decisions.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.