@inproceedings{811321030c444b23a4bde625c04fdb45,
title = "Belief-based hybrid argumentation for threat assessment",
abstract = "This paper describes a mixed-initiative model of knowledge discovery capable of monitoring a dynamic environment, in which uncertain and unreliable messages can be reasoned over for recognizing human activities and predicting likely threats. The model represents an argument assistant helping an analyst in argument production by considering pro and contra arguments from uncertain transient information while seeing each piece of this information as an element of alternative stories (hypotheses based on what might happen). These hypotheses are evaluated within the framework of the Transferable Belief Model by assigning beliefs to each argument, combining these beliefs, and selecting a story (hypothesis) based on the highest pignistic probability. Anytime decision making provides decision quality control by weighing time and hypothesis credibility.",
keywords = "Decision support, defeasible argumentation, sequential decision making, story telling, Transferable Belief Model",
author = "Rogova, \{Galina L.\} and James Llinas and Geoff Gross",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 2015 IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision, CogSIMA 2015 ; Conference date: 09-03-2015 Through 12-03-2015",
year = "2015",
month = may,
day = "14",
doi = "10.1109/COGSIMA.2015.7108195",
language = "English",
series = "2015 IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision, CogSIMA 2015",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "179--185",
booktitle = "2015 IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision, CogSIMA 2015",
address = "United States",
}