| Title: | Language-based game theory in the age of artificial intelligence |
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| Authors: | ID Capraro, Valerio (Author)
ID Di Paolo, Roberto (Author)
ID Perc, Matjaž (Author)
ID Pizziol, Veronica (Author) |
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| Files: |  RAZ_Capraro_Valerio_2024.pdf (487,71 KB)
MD5: A31BFDC181A7C306B2E13E7BC292D5BB
 https://doi.org/10.1098/rsif.2023.0720
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| Language: | English |
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| Work type: | Scientific work |
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| Typology: | 1.02 - Review Article |
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| Organization: | FNM - Faculty of Natural Sciences and Mathematics
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| Abstract: | Understanding human behaviour in decision problems and strategicinteractions has wide-ranging applications in economics, psychology andartificial intelligence. Game theory offers a robust foundation for this under-standing, based on the idea that individuals aim to maximize a utilityfunction. However, the exact factors influencing strategy choices remainelusive. While traditional models try to explain human behaviour as a func-tion of the outcomes of available actions, recent experimental researchreveals that linguistic content significantly impacts decision-making, thusprompting a paradigm shift from outcome-based to language-based utilityfunctions. This shift is more urgent than ever, given the advancement ofgenerative AI, which has the potential to support humans in making criticaldecisions through language-based interactions. We propose sentiment analy-sis as a fundamental tool for this shift and take an initial step by analysing61 experimental instructions from the dictator game, an economic gamecapturing the balance between self-interest and the interest of others,which is at the core of many social interactions. Our meta-analysis showsthat sentiment analysis can explain human behaviour beyond economicoutcomes. We discuss future research directions. We hope this worksets the stage for a novel game-theoretical approach that emphasizes theimportance of language in human decisions. |
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| Keywords: | game theory, artificial intelligence, social preferences, language-based preferences, social physics, moral behavior, trust |
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| Publication status: | Published |
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| Publication version: | Version of Record |
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| Submitted for review: | 05.12.2023 |
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| Publication date: | 12.02.2024 |
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| Publisher: | Royalsociety publishing |
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| Year of publishing: | 2024 |
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| Number of pages: | 9 str. |
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| Numbering: | Letn. 21, št. 212, št. čanka 20230720 |
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| PID: | 20.500.12556/DKUM-91197  |
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| UDC: | 53 |
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| ISSN on article: | 1742-5662 |
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| COBISS.SI-ID: | 189617155 |
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| DOI: | 10.1098/rsif.2023.0720 |
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| Publication date in DKUM: | 27.11.2024 |
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| Views: | 174 |
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| Downloads: | 400 |
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| Metadata: |    |
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| Categories: | Misc.
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