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Predicting Decisions in Language Based Persuasion Games. (arXiv:2012.09966v4 [cs.AI] UPDATED)
Jan. 27, 2022, 2:10 a.m. | Reut Apel, Ido Erev, Roi Reichart, Moshe Tennenholtz
cs.CL updates on arXiv.org arxiv.org
Sender-receiver interactions, and specifically persuasion games, are widely
researched in economic modeling and artificial intelligence. However, in the
classic persuasion games setting, the messages sent from the expert to the
decision-maker (DM) are abstract or well-structured signals rather than natural
language messages. This paper addresses the use of natural language in
persuasion games. For this purpose, we conduct an online repeated interaction
experiment. At each trial of the interaction, an informed expert aims to sell
an uninformed decision-maker a vacation …
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