Abstract
The ability to model, forecast, and analyze the behaviors of other agents has applications in many diverse contexts. For example, behavioral models can be used in multi-player games to forecast an opponent’s next move, in economics to forecast a merger decision by a CEO, or in international politics to predict the behavior of a rival state or group. Such models can facilitate formulation of effective mitigating responses and provide a foundation for decision-support technologies.
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References
Bond J, Petroff V, O’Brien S, Bond D (2004) Forecasting turmoil in indonesia: an application of hidden markov models. In: International studies association convention, Montreal. International Studies Association, USA, pp 17–21
Bowerman B, O’Connell R, Koehler A (2004) Forecasting, time series and regression, 4th edn. Southwestern College Publishers, Cincinnati, OH, USA
Center for International Development and Conflict Management (2008) Minorities at risk organizational behavior dataset, minorities at risk project. Retrieved from http://www.cidcm.umd.edu/mar
Harvey AC (1984) A unified view of statistical forecasting procedures. Int J Forecast 3(3): 245–275
Khuller S, Martinez MV, Nau D, Simari GI, Sliva A, Subrahmanian VS (2007) Computing most probable worlds of action probabilistic logic programs: scalable estimation for 1030, 000 worlds. Ann Math Artif Intell, 51(2–4):295–331
Khuller S, Martinez MV, Nau D, Simari GI, Sliva A, Subrahmanian VS (2007) Finding most probable worlds of probabilistic logic programs. In: Proceedings of the 2007 international conference on scalable uncertainty management. Lecture notes in computer science, vol 4772. Springer, Berlin/New York, pp 45–59
Martinez MV, Simari GI, Sliva A, Subrahmanian V (2008) CONVEX: context vectors as a similarity-based paradigm for forecasting group behaviors. IEEE Intell Syst 23(4):51–57
Raftery AE, Madigan D, Hoeting JA (1998) Bayesian model averaging for linear regression models. J Am Stat Assoc 92:179–191
Schrodt P (2000) Forecasting conflict in the balkans using hidden markov models. In: Proceedings of the American political science association meetings. American Political Science Association, USA
Sliva A, Subrahmanian VS, Martinez MV, Simari GI (2008) The SOMA terror organization portal (STOP): social network and analytic tools for the real-time analysis of terror groups. In: Proceedings of the 2008 first international workshop on social computing, behavioral modeling and prediction. Lecture notes in computer science. Springer, New York/Berlin, pp 9–18
Sliva A, Subrahmanian VS, Martinez MV, Simari GI (2009) CAPE: automatically predicting changes in group behavior, In: Memon N, Farley JD, Hicks DL, Rosenorn T (eds) Mathematical methods in counterterrorism. Springer, Wien, pp 247–263
Subrahmanian VS (2007) Cultural modeling in real-time. Science 317(5844):1509–1510
Subrahmanian VS, Albanese M, Martinez MV, Nau D, Reforgiato D, Simari GI, Sliva A, Wilkenfeld J (2007) Cara: a cultural adversarial reasoning architecture. IEEE Intell Syst 22(2):12–16
Ullman J (1989) Principles of database and knowledge base systems, vol 2. Computer Science Press, Rockville
Wilkenfeld J, Asal V, Johnson C, Pate A, Michael M (2007) The use of violence by ethnopolitical organizations in the middle east. Technical report, National Consortium for the Study of Terrorism and Responses to Terrorism
Zou H, Yang Y (2004) Combining time series models for forecasting. Int J Forecast 20:69–84
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Some of the authors of this paper were funded in part by AFOSR grant FA95500610405, ARO grant W911NF0910206 and ONR grant N000140910685.
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Martinez, M.V., Sliva, A., Simari, G.I., Subrahmanian, V.S. (2013). Forecasting Changes in Terror Group Behavior. In: Subrahmanian, V. (eds) Handbook of Computational Approaches to Counterterrorism. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-5311-6_11
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