Command and Control is the process by which military personnel in war comma
nd their forces to take account of military aims and objectives. Across NAT
O, there is a growing realisation that the proper representation of Command
and Control (C2) in models of conflict is very important. Since it essenti
ally concerns itself with the representation of human decision-making, this
is recognised as one of the most difficult areas for defence analysis. One
approach to this problem is through the use of large rule-based expert sys
tems. The work reported here lays out an alternative approach founded on th
e use of Bayesian inference and transitions between different mission 'stat
es', leading to what we call the the mission based approach to Command and
Control. These ideas are already being incorporated into the next generatio
n of simulation models currently under development which range across the l
and/air, maritime and peacekeeping areas of application.