  This paper describes a metric for measuring the success of a complex system
composed of agents performing autonomous behaviours. Because of the difficulty
in evaluating such systems, this metric will help to give an initial indication
as to how suitable the agents would be for solving the problem. The system is
modelled as a script, or behavioural ontology, with a number of variables to
represent each of the behaviour attributes. The set of equations can be used
both for modeling and as part of the simulation evaluation. Behaviours can be
nested, allowing for compound behaviours of arbitrary complexity to be built.
There is also the capability for including rules or decision making into the
script. The paper also gives some test examples to show how the metric might be
used.
