A first cut of the military QoI attribute space and hypothesis structure for abductive reasoning
File(s)
Published version
Author(s)
Thornley, David J
Harvey, Mark P
Type
Report
Abstract
The concept of quality of information (QoI)
provides a focus for developing and evaluating information
gathering and situational awareness (SA) assessment methods.
Effective prima facie estimates of accuracy, latency and
trustworthiness are essential elements in the assessment of an
information product delivered to, for example, a decision maker
charged with timely and accurate identification of targets. QoI
must support reasoning under conditions of uncertainty and
conflict, which is a motivation for the application of abductive
reasoning. This type of reasoning evokes hypotheses for ground
truth that include the characteristics of the subject matter,
contexts, producers and channels of information products. For
our purposes, hypotheses are to be tested using a model related in
intent to the enterprise QoI space of Wang et al, but which must
take into consideration a significantly richer set of uncertainties
resulting from the complexity and range of military activities
that may require concurrent evaluation. This paper and
accompanying poster begin to define that space.
provides a focus for developing and evaluating information
gathering and situational awareness (SA) assessment methods.
Effective prima facie estimates of accuracy, latency and
trustworthiness are essential elements in the assessment of an
information product delivered to, for example, a decision maker
charged with timely and accurate identification of targets. QoI
must support reasoning under conditions of uncertainty and
conflict, which is a motivation for the application of abductive
reasoning. This type of reasoning evokes hypotheses for ground
truth that include the characteristics of the subject matter,
contexts, producers and channels of information products. For
our purposes, hypotheses are to be tested using a model related in
intent to the enterprise QoI space of Wang et al, but which must
take into consideration a significantly richer set of uncertainties
resulting from the complexity and range of military activities
that may require concurrent evaluation. This paper and
accompanying poster begin to define that space.
Date Issued
2009-01-01
Citation
Departmental Technical Report: 09/11, 2009, pp.1-2
Publisher
Department of Computing, Imperial College London
Start Page
1
End Page
2
Journal / Book Title
Departmental Technical Report: 09/11
Copyright Statement
© 2009 The Author(s). This report is available open access under a CC-BY-NC-ND (https://creativecommons.org/licenses/by-nc-nd/4.0/)
Publication Status
Published
Article Number
09/11