TY - CPAPER
AU - Erol Gelenbe
AU - Paul Pearce
AU - V. Kaptan
AU - Yu Wang
AU - N.S Walmsley
AU - P. Gardiner
AU - J. Moffat
AB - <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>

BT - 11th ICCRTS Coalition Command and Control in the Networked Era
LA - eng
N2 - <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>

PY - 2022
T2 - 11th ICCRTS Coalition Command and Control in the Networked Era
TI - A Dynamic Model for Identifying Enemy Collective Behaviour
ER -