Osunmakinde, I O and Bagula, A (2009) Emergent Future Situation Awareness: A Temporal Probabilistic Reasoning in the Absence of Domain Experts, Adaptive and Natural Computing Algorithms, LNCS, Proceedings of ICANNGA 2009, April 2009, 5495, 340-349, Springer-Verlag Berlin Heidelberg, LNCS series.
Full text not available from this repository. (Use alternate locations listed below)Abstract
Dynamic Bayesian networks (DBNs) are temporal probabilistic models for reasoning over time which are rapidly gaining popularity in modern Artificial Intelligence (AI) for planning. A number of Hidden Markov Model (HMM) representations of dynamic Bayesian networks with different characteristics have been developed. However, the varieties of DBNs have obviously opened up challenging problems of how to choose the most suitable model for specific real life applications especially by non-expert practitioners. Problem of convergence over wider time steps is also challenging. Finding solutions to these challenges is difficult. In this paper, we propose a new probabilistic modeling called Emergent Future Situation Awareness (EFSA) which predicts trends over future time steps to mitigate the worries of choosing a DBN model type and avoid convergence problems when predicting over wider time steps. Its prediction strategy is based on the automatic emergence of temporal models over two dimensional (2D) time steps from historical Multivariate Time Series (MTS). Using real life publicly available MTS data on a number of comparative evaluations, our experimental results show that EFSA outperforms popular HMM and logistic regression models. This excellent performance suggests its wider application in research and industries.
| Item Type: | Conference paper |
|---|---|
| Uncontrolled Keywords: | Dynamic Bayesian Networks, Situation Awareness, Prediction, Multivariate Time Series |
| Subjects: | Computing methodologies > Artificial intelligence |
| Date Deposited: | 30 Nov 2009 |
| Last Modified: | 10 Oct 2019 15:34 |
| URI: | http://pubs.cs.uct.ac.za/id/eprint/559 |
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