@inproceedings{57c6844bea1c4cd4b5716911a3862235,
title = "Predicting strategic behavior from free text",
abstract = "The connection between messaging and action is fundamental both to web applications, such as web search and sentiment analysis, and to economics. However, while prominent online applications exploit messaging in natural (human) language in order to predict non-strategic action selection, the economics literature focuses on the connection between structured stylized messaging to strategic decisions in games and multi-agent encounters. This paper aims to connect these two strands of research, which we consider highly timely and important due to the vast online textual communication on the web. Particularly, we introduce the following question: can free text expressed in natural language serve for the prediction of action selection in an economic context, modeled as a game? We initiate research on this question by providing preliminary positive results.",
author = "Omer Ben-Porat and Lital Kuchy and Sharon Hirsch and Guy Elad and Roi Reichart and Moshe Tennenholtz",
note = "Publisher Copyright: {\textcopyright} 2020 Inst. Sci. inf., Univ. Defence in Belgrade. All rights reserved.; 29th International Joint Conference on Artificial Intelligence, IJCAI 2020 ; Conference date: 01-01-2021",
year = "2020",
month = jan,
day = "1",
language = "الإنجليزيّة",
series = "IJCAI International Joint Conference on Artificial Intelligence",
pages = "5020--5024",
editor = "Christian Bessiere",
booktitle = "Proceedings of the 29th International Joint Conference on Artificial Intelligence, IJCAI 2020",
}