Team 8: Enhancing the Combat ID Agent Based Model
Shan, Loh Yuan
Yongwei, David Wang
Kai, Chan Wen
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During previous Project Albert and International data Farming Workshops (IDFW) and during discussions between Dstl and TNO, the suitability and feasibility of Agent Based Models (ABMs) to support research on Combat Identification (Combat ID) was examined. The objective of this research is to: Investigate the effect of (a large number of) different variations in Situational Awareness, Situation Awareness (SA), Target Identification (Target ID), Human Factors, and Tactics, Techniques, and Procedures (TTP) under different circumstances (scenarios) on mission level combat effectiveness and fratricide.
from Scythe : Proceedings and Bulletin of the International Data Farming Community, Issue 6 Workshop 18
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