A Context-Driven Framework for Proactive Decision Support With Applications
Major challenges anticipated in the future C<sup>4</sup>ISR (command, control, communications, computers, intelligence, surveillance, and reconnaissance) operations involve rapid mission planning/ re-planning in highly dynamic, asymmetric, unpredictable, and network-centric environments....
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doaj-91d98ad7b43d4c7b9a20685cc0977c7d2021-03-29T20:17:15ZengIEEEIEEE Access2169-35362017-01-015124751249510.1109/ACCESS.2017.27070917932848A Context-Driven Framework for Proactive Decision Support With ApplicationsManisha Mishra0https://orcid.org/0000-0002-3427-0477David Sidoti1Gopi Vinod Avvari2Pujitha Mannaru3Diego Fernando Martinez Ayala4Krishna R. Pattipati5David L. Kleinman6Department of Electrical and Computer Engineering, University of Connecticut, Storrs, CT, USADepartment of Electrical and Computer Engineering, University of Connecticut, Storrs, CT, USADepartment of Electrical and Computer Engineering, University of Connecticut, Storrs, CT, USADepartment of Electrical and Computer Engineering, University of Connecticut, Storrs, CT, USADepartment of Electrical and Computer Engineering, University of Connecticut, Storrs, CT, USADepartment of Electrical and Computer Engineering, University of Connecticut, Storrs, CT, USANaval Postgraduate School, Monterey, CA, USAMajor challenges anticipated in the future C<sup>4</sup>ISR (command, control, communications, computers, intelligence, surveillance, and reconnaissance) operations involve rapid mission planning/ re-planning in highly dynamic, asymmetric, unpredictable, and network-centric environments. Developing decision support for such complex mission environments requires automated processing, interpretation, and development of proactive decisions using large volumes of structured, unstructured, and semi-structured data, while simultaneously decreasing the time necessary to arrive at a decision. To overcome this data deluge, there is a need for mastering information dominance via acquisition, fusion, and transfer of the right data/information/knowledge from the right sources in the right mission context to the right decision-maker (DM) at the right time for the right purpose (6R). The fundamental challenge in achieving the 6R is to conceive a generic framework that encompasses the dynamics of relevant contextual elements, their interdependence and correlation to the current and evolving situation, while taking into account the cognitive status of the DM. In this paper, we propose a context-driven proactive decision support (PDS) framework that comprises: 1) adaptive model-based dynamic graph models (e.g., Dynamic Hierarchical Bayesian Networks) and the concomitant inference algorithms for context representation, inference, and forecasting, 2) information selection, valuation, and prioritization methods for context-driven operations, including uncertainty management approaches, and 3) application of PDS concepts for courses of action recommendations across representative maritime operations.https://ieeexplore.ieee.org/document/7932848/Context-aware decision supportcontext representationuncertainty managementproactive decision support |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Manisha Mishra David Sidoti Gopi Vinod Avvari Pujitha Mannaru Diego Fernando Martinez Ayala Krishna R. Pattipati David L. Kleinman |
spellingShingle |
Manisha Mishra David Sidoti Gopi Vinod Avvari Pujitha Mannaru Diego Fernando Martinez Ayala Krishna R. Pattipati David L. Kleinman A Context-Driven Framework for Proactive Decision Support With Applications IEEE Access Context-aware decision support context representation uncertainty management proactive decision support |
author_facet |
Manisha Mishra David Sidoti Gopi Vinod Avvari Pujitha Mannaru Diego Fernando Martinez Ayala Krishna R. Pattipati David L. Kleinman |
author_sort |
Manisha Mishra |
title |
A Context-Driven Framework for Proactive Decision Support With Applications |
title_short |
A Context-Driven Framework for Proactive Decision Support With Applications |
title_full |
A Context-Driven Framework for Proactive Decision Support With Applications |
title_fullStr |
A Context-Driven Framework for Proactive Decision Support With Applications |
title_full_unstemmed |
A Context-Driven Framework for Proactive Decision Support With Applications |
title_sort |
context-driven framework for proactive decision support with applications |
publisher |
IEEE |
series |
IEEE Access |
issn |
2169-3536 |
publishDate |
2017-01-01 |
description |
Major challenges anticipated in the future C<sup>4</sup>ISR (command, control, communications, computers, intelligence, surveillance, and reconnaissance) operations involve rapid mission planning/ re-planning in highly dynamic, asymmetric, unpredictable, and network-centric environments. Developing decision support for such complex mission environments requires automated processing, interpretation, and development of proactive decisions using large volumes of structured, unstructured, and semi-structured data, while simultaneously decreasing the time necessary to arrive at a decision. To overcome this data deluge, there is a need for mastering information dominance via acquisition, fusion, and transfer of the right data/information/knowledge from the right sources in the right mission context to the right decision-maker (DM) at the right time for the right purpose (6R). The fundamental challenge in achieving the 6R is to conceive a generic framework that encompasses the dynamics of relevant contextual elements, their interdependence and correlation to the current and evolving situation, while taking into account the cognitive status of the DM. In this paper, we propose a context-driven proactive decision support (PDS) framework that comprises: 1) adaptive model-based dynamic graph models (e.g., Dynamic Hierarchical Bayesian Networks) and the concomitant inference algorithms for context representation, inference, and forecasting, 2) information selection, valuation, and prioritization methods for context-driven operations, including uncertainty management approaches, and 3) application of PDS concepts for courses of action recommendations across representative maritime operations. |
topic |
Context-aware decision support context representation uncertainty management proactive decision support |
url |
https://ieeexplore.ieee.org/document/7932848/ |
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