A Dynamic Model for Identifying Enemy Collective Behaviour
| Autorzy | Gelenbe E.; Pearce P.; Kaptan V.; Wang Y.; Walmsley N.; Gardiner P.; Moffat J. |
|---|---|
| Tytuł | A Dynamic Model for Identifying Enemy Collective Behaviour |
| Czasopismo | 11th ICCRTS Coalition Command and Control in the Networked Era |
| Rok | 2022 |
| Status | Published |
| Abstrakt | <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> |
| A Dynamic Model for Identifying Enemy Collective Behaviour.pdf |