01144nas a2200157   4500000000100000008004100001100001700042700001600059700001400075700001200089700001700101700001600118700001400134245006300148520077500211       2022                            d1 aErol Gelenbe1 aPaul Pearce1 aV. Kaptan1 aYu Wang1 aN.S Walmsley1 aP. Gardiner1 aJ. Moffat00aA Dynamic Model for Identifying Enemy Collective Behaviour3 a<p>Recent advances in Command and Control (C2) modelling have developed<br />
algorithmic representations of the command decision making process at both<br />
the tactical (Rapid Planning) and operational (Deliberate Planning) levels of<br />
command. In this paper, the development of methods by which indicators of<br />
enemy/group behaviour can be extracted is discussed. The aim of this work<br />
is to use the grouping techniques to establish, with more certainty, force size<br />
and direction. We describe a multi-agent model approach, based on a<br />
hierarchical framework, suitable for identifying indicators of collaborative<br />
behaviour associated with enemy agile mission groups that commonly feature<br />
in the modern Networked Era.</p>