Publication Type

Journal Article

Version

acceptedVersion

Publication Date

1-2009

Abstract

Situation awareness modelling is popularly used in the command and control domain for situation assessment and decision support. However, situation models in real-world applications are typically complex and not easy to use. This paper presents a Context-aware Decision Support (CaDS) system, which consists of a situation model for shared situation awareness modelling and a group of entity agents, one for each individual user, for focused and customized decision support. By incorporating a rule-based inference engine, the entity agents provide functions including event classification, action recommendation, and proactive decision making. The implementation and the performance of the proposed system are demonstrated through a case study on a simulated command and control application.

Keywords

Situation awareness, Context awareness, Decision support, Intelligent agents

Discipline

Computer and Systems Architecture | Computer Engineering | Databases and Information Systems

Research Areas

Data Science and Engineering

Publication

Expert Systems with Applications

Volume

36

Issue

1

First Page

455

Last Page

463

ISSN

0957-4174

Identifier

10.1016/j.eswa.2007.09.061

Publisher

Elsevier

Additional URL

https://doi.org/10.1016/j.eswa.2007.09.061

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