Linguistic Geometry For Intelligent Analysis Of Courses Of Action For Training
Keywords
Courses of Action; Intelligent adversary; LG zones; Linguistic Geometry; Low hardware and personnel overhead; Simulated forces; Simulation-assisted training; Tactical training
Abstract
Linguistic Geometry (LG) is a type of game theory scalable to solving complex real world problems that are considered intractable by conventional approaches. Modern applications of LG, related to the modeling and simulation applied to US national defense, generate, in real time, intelligent Courses of Action (COAs) much faster and of higher quality than those generated by human commanders. While LG tools have been applied to analysis of COAs in the military command and control domain (within the context of modeling and simulation) for many years, its use in educational settings for tactical training has not been previously explored. Reducing needs for human training staff via automatic generation of COAs represents a significant challenge and can provide multiple benefits beyond merely replicating some of the required capabilities of the instructor. This paper reports results of such usage of LG-assisted modeling and simulation.
Publication Date
1-1-2015
Publication Title
Simulation Series
Volume
47
Issue
10
Number of Pages
421-430
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
Copyright Status
Unknown
Socpus ID
84954155152 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/84954155152
STARS Citation
Umanskiy, Oleg; Stilman, Boris; Yakhnis, Vlad; Eifert, Latika; and Stevens, Jonathan, "Linguistic Geometry For Intelligent Analysis Of Courses Of Action For Training" (2015). Scopus Export 2015-2019. 1978.
https://stars.library.ucf.edu/scopus2015/1978