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Please use this identifier to cite or link to this item: http://hdl.handle.net/10059/725
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Title: Case-based situation awareness.
Authors: Nwiabu, Nuka D.
Allison, Ian
Holt, Patrik
Lowit, Peter
Oyeneyin, Babs
Keywords: Situation awareness
Context awareness
Case-based reasoning
Human cognition
Hydrate formation
Issue Date: 2012
Publisher: IEEE
Citation: NWIABU, N., ALLISON, I., HOLT, P., LOWIT, P. and OYENEYIN, B., 2012. Case-based situation awareness. In: IEEE Multi-disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support. 6-8 March 2012. Piscataway, New Jersey: IEEE. Pp. 22-29.
Abstract: Situation-aware case-based decision support (SACBDS) systems comprise two distinct parts: situation awareness (SA) and case-based reasoning (CBR). The SA part keeps a finite history of the time space information of the domain and uses rules to interpret cues from the environment with respect to an individual user’s context, and then anticipates future situations by performing statistical inference over historical data. The CBR part is the part that seeks to accomplish a particular task with knowledge of the environment from the SA component. This paper discusses the fusion of the CBR model and the SA model into a case-based situation awareness (CBSA) model for situation awareness based on experience rather than rule, similarity assessment and problem solving prediction. The CBSA system perceives the users’ context and the environment and uses them to understand the current situation by retrieving similar past situations. Every past situation has a history. The future of a new situation (case) is predicted through knowledge of the history of a similar past situation. The paper evaluates the concept in the flow assurance control domain to predict the formation of hydrate in sub-sea oil and gas pipelines. The results provided the CBSA system with greater number of accurate predictions than the SACBDS system.
ISBN: 9781467303453
Appears in Collections:Conference publications (Computing)

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