Information-gathering: From sensor data to decision support in three simple steps

Issue title: Intelligent decision making in dynamic environments: Methods, architectures and applications

Guest editors: Alexander V. Smirnov and Gabriel Jakobson

Article type: Research Article

Authors: Wickler, Gerhard^{; *} | Potter, Stephen

Affiliations: Artificial Intelligence Applications Institute, School of Informatics, University of Edinburgh, Appleton Tower, Crichton Street, Edinburgh, EH8 9LE, Scotland, UK

Correspondence: [*] Corresponding author. Tel./Fax: +44 131 650 2732/6513; E-mail: g.wickler@ed.ac.uk

Abstract: In this paper we describe the information-gathering problem which can be characterized as transforming large amounts of data obtained from sensors into accurate, concise, timely and meaningful information that can be used by decision makers faced with a specific task and a number of options for performing that task. The approach to this information-gathering problem as described here consists of three phases: data validation, data aggregation and abstraction, and information interpretation. Each of these phases will be described in general, and for each of these phases we describe techniques that are reasonably generic to be applicable in many domains, but domain specific knowledge will of course always be needed too.

Keywords: Command-and-control, artificial intelligence, modelling, information systems

DOI: 10.3233/IDT-2009-0043

Journal: Intelligent Decision Technologies, vol. 3, no. 1, pp. 3-17, 2009