This guide is intended to assist those in the vanguard of using Advanced
Distributed Simulation (ADS) for analysis. It discusses ADS analysis
strengths and weaknesses, the role ADS might play within a broader
analysis strategy, experimental design, exercise preparation and
management, and post-exercise analysis. ADS today can realistically
treat human performance, obtain insights into the cause-and-effect
combat drivers, effectively communicate analytic results to
decisionmakers, facilitate multidisciplinary research teams, and combine
multiple disparate service simulations into a single joint simulation
for theaterwide scenarios at a high level of detail. There are, however,
significant challenges to be overcome before the potential of ADS can be
realized: the complexity of a distributed joint simulation, exclusive
use of human-in-the-loop analysis, and the logistical load and expense
of distributed simulations, data, and personnel. Interoperability among
models is essential, and is the primary obstacle in achieving widespread
analytic utility from ADS. The authors believe that ADS is often best
used in conjunction with stand-alone constructive simulations.