Large socio-Technical systems are complex to comprehend in their entirety because information exchanges between system compo-nents lend an emergent nature to the overall system behaviour. Although Individual system component behaviour may be known at the outset, such components may exhibit uncertainty and further exacerbate issues of a priori prediction of the overall system behaviour. Multi-Agent sys-Tems and the use of simulation is a possible recourse in such situations however, simulation results need to be correctly interpreted so as to nudge the overall system behaviour towards a desired objective. We pro-pose a solution wherein the system is modelled as a set of actors ex-changing messages, a simulation engine producing execution trace for an actor as its history, and a querying mechanism to identify patterns that may span across individual actor histories to ascertain property of the overall system. The proposed solution is evaluated using a representative sample from real life.
|Number of pages||14|
|Journal||CEUR Workshop Proceedings|
|Publication status||Published - 9 Nov 2017|