Language-based game theory in the age of artificial intelligence.
In: Journal of the Royal Society, Interface, Jg. 21 (2024-03-01), Heft 212, S. 20230720
academicJournal
Zugriff:
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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Language-based game theory in the age of artificial intelligence.
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Autor/in / Beteiligte Person: | Capraro, V ; Di Paolo, R ; Perc, M ; Pizziol, V |
Zeitschrift: | Journal of the Royal Society, Interface, Jg. 21 (2024-03-01), Heft 212, S. 20230720 |
Veröffentlichung: | London : Royal Society, [2004]-, 2024 |
Medientyp: | academicJournal |
ISSN: | 1742-5662 (electronic) |
DOI: | 10.1098/rsif.2023.0720 |
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