Studying Knowledge Distribution in Highly Dynamic and Poorly Known Situations
Date
2018-01-25 11:06
Authors
Supervisor/s
Journal Title
Journal ISSN
Volume Title
Publisher
Cranfield University
Department
Type
Presentation
ISSN
Format
Citation
Hill, Martin (2018). Studying Knowledge Distribution in Highly Dynamic and Poorly Known Situations. Cranfield Online Research Data (CORD). Dataset. https://doi.org/10.17862/cranfield.rd.5688694.v1
Abstract
3MT presented at the 2017 Defence and Security Doctoral Symposium.This presentation outlines some of the problems, solutions and mitigations to studying knowledge distribution for the battlefield. It covers identifying, measuring and controlling variables to support experiments and case studies, and the use of ‘experimental method’ to identify ‘sweet spots’ in response surfaces to changing variables. It also offers a software implementation of a distribution simulation.
Description
Software Description
Software Language
Github
Keywords
'Knowledge Distribution', 'Uncertain Knowledge', 'Intelligence Analysis', 'DSDS17', 'DSDS17 3MT', 'Defence Studies'
DOI
10.17862/cranfield.rd.5688694.v1
Rights
CC BY 4.0