20.500.12556/DKUM-91197 Language-based game theory in the age of artificial intelligence 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. game theory artificial intelligence social preferences language-based preferences social physics moral behavior trust teorija iger umetna inteligenca družbene preference jezikovne preference socialna fizika moralno vedenje zaupanje true true true Royalsociety publishing Angleški jezik Slovenski jezik Znanstveno delo 2024-11-27 13:04:26 2024-11-27 13:04:26 2025-03-25 08:54:33 0000-00-00 00:00:00 2024 0 0 9 str. št. 212, št. čanka 20230720 Letn. 21 Mar. 2024 0000-00-00 Zaloznikova Objavljeno NiDoloceno 2023-12-05 0000-00-00 2024-02-12 53 189617155 10.1098/rsif.2023.0720 1742-5662 RAZ_Capraro_Valerio_2024.pdf RAZ_Capraro_Valerio_2024.pdf 1 A31BFDC181A7C306B2E13E7BC292D5BB a1e23fd9151631003a96df8187deb0710e896730aaa1efabee659584bca5087a 5d70ad4f-acb9-11ef-82e2-00155d000105 https://dk.um.si/Dokument.php?lang=slv&id=186969 https://doi.org/10.1098/rsif.2023.0720 0 dd801b13-acb9-11ef-82e2-00155d000105 https://dk.um.si/Dokument.php?lang=slv&id=186970 Fakulteta za naravoslovje in matematiko 0 0 0