@inproceedings{76bfe8f684b64f41a239772a4f27463f,
title = "Predicting demonstrations' violence level using qualitative reasoning",
abstract = "In this paper we describe a method for modeling social behavior of large groups, and apply it to the problem of predicting potential violence during demonstrations. We use qualitative reasoning techniques which to our knowledge have never been applied to modeling crowd behaviors, nor in particular to demonstrations. Such modeling may not only contribute to the police decision making process, but can also provide a great opportunity to test existing theories in social science. We incrementally present and compare three qualitative models, based on social science theories. The results show that while two of these models fail to predict the outcomes of real-world events reported and analyzed in the literature, one model is successful. We believe that this demonstrates the efficacy of qualitative reasoning in the development and testing of social sciences theories.",
keywords = "Demonstrations, Qualitative reasoning, Social Simulation",
author = "Natalie Fridman and Tomer Zilberstein and Kaminka, {Gal A.}",
note = "Place of conference:USA; 4th International Conference on Social Computing, Behavioral-Cultural Modeling and Prediction, SBP 2011 ; Conference date: 29-03-2011 Through 31-03-2011",
year = "2011",
doi = "https://doi.org/10.1007/978-3-642-19656-0_7",
language = "الإنجليزيّة",
isbn = "9783642196553",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "42--50",
booktitle = "Social Computing, Behavioral-Cultural Modeling and Prediction - 4th International Conference, SBP 2011, Proceedings",
}