Abstract
This paper introduces challenges in contemporary situation assessment using collaborative inference and discusses solutions that are based on workflows between distributed processing nodes. The paper exposes the necessary conditions that workflows have to satisfy in order to support accurate situation assessment and provides a systematic approach to verification of the workflows. In particular, we emphasize the link between the complexity of the domain and the complexity of the workflows in terms of data and control coupling. With the help of graphical representations, we characterize the complexity of the domains and identify critical relations that have to be captured by collaborating processes in a workflow supporting correct situation assessment.
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References
Bhatt, E., Fujimoto, R., Ogielski, A., Perumalla, K.: Parallel simulation techniques for large scale networks. IEEE Communications Magazine 36, 42–47 (2002)
Chandrasekaran, B.: Functional representation and causal processes. Advances in Computers 38, 73–143 (1994)
Deelman, E., Szymanski, B.K., Caraco, T.: Simulating lyme disease using parallel discrete event simulation. In: Proceedings of the Winter Simulation Conference, pp. 1191–1198 (1996)
Forbus, K.D.: Qualitative physics: Past, present, and future. In: Exploring Artificial Intelligence, ch. 7, pp. 239–296. Morgan-Kaufmann Publishers, Inc., San Francisco (1988)
Jensen, F.V., Nielsen, T.D.: Bayesian Networks and Decision Graphs, 2nd edn. Springer (2007)
Karimabadi, H., Driscoll, J., Dave, J., Omelchenko, Y., Perumalla, K., Fujimoto, R., Omidi, N.: Parallel Discrete Event Simulations of Grid-Based Models: Asynchronous Electromagnetic Hybrid Code. In: Dongarra, J., Madsen, K., Waśniewski, J. (eds.) PARA 2004. LNCS, vol. 3732, pp. 573–582. Springer, Heidelberg (2006)
Kiepuszewski, B., ter Hofstede, A.H.M., van der Aalst, W.M.P.: Fundamentals of control flow in workflows. Acta Informatica 39(3), 143–209 (2003)
Kreps, G.A., Bosworth, S.L.: Organizational adaptation to disaster. In: Handbook of Disaster Research, ch. 17, pp. 297–315. Springer (2007)
Kuipers, B.: Qualitative simulation. Artificial Intelligence 29, 289–338 (2001)
Lauritzen, S.L., Spiegelhalter, D.J.: Local computations with probabilities on graphical structures and their application to expert systems, pp. 415–448 (1990)
Lukovszki, C., Szabó, R., Henk, T.: Performance evaluation of a hybrid atm switch architecture by parallel discrete event simulation. Informatica (Slovenia) 24(2) (2000)
Pearl, J.: Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference. Morgan Kaufmann (1988)
Pearl, J.: Causality: Models Reasoning and Inference. Cambridge University Press (2000)
Penders, A., Pavlin, G., Kamermans, M.: A collaborative approach to construction of large scale distributed reasoning systems. International Journal on Artificial Intelligence Tools 20(6), 1083–1106 (2011)
Spirtes, P., Glymour, C., Scheines, R.: Causation, Prediction, and Search, 2nd edn. MIT Press (2000)
van der Aalst, W.: Workflow Management: Models, Methods, and Systems. MIT Press (2002)
Wieland, F.: Parallel simulation for aviation applications. In: Winter Simulation Conference, pp. 1191–1198 (1998)
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Bădică, C., Conrado, C., Mignet, F., de Oude, P., Pavlin, G. (2013). Towards Characterizing Distributed Complex Situation Assessment as Workflows in Loosely Coupled Systems. In: Fortino, G., Badica, C., Malgeri, M., Unland, R. (eds) Intelligent Distributed Computing VI. Studies in Computational Intelligence, vol 446. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32524-3_16
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DOI: https://doi.org/10.1007/978-3-642-32524-3_16
Publisher Name: Springer, Berlin, Heidelberg
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