Virtual International System (SEAS-VIS)
The SEAS-VIS model is a representation of the Institutions, Organizations, Leaders, Individuals, and
Infrastructure that make up a society. The geography of a society is modeled at various levels including
City, Province, Country, Region, and World in terms of Political, Military, Economic, Social, Information,
and Infrastructure (PMESII) nodes. The virtual environment integrates multiple theories from various
disciplines to program behaviorally accurate agents with dynamic rules that govern and guide their actions
and interactions. SEAS-VIS facilitates a seamless and interchangeable integration of human and software
agents and allows for testing the efficacy of theories, decisions, strategies, and tools.
SEAS-VIS offers the ability to do course of action (COA) analysis, test hypotheses, learn through
experimentation, conduct effects-based operations and planning, and develop and refine Operational Net
Assessment (ONA). The product allows the user to evaluate and manage the challenges of international
Near Real Time (SEAS-NRT)
SEAS-NRT consists of human behavior models that are best suited to a short period of time (within hours),
such as crowding and rioting, escalation of emotional arousal, and terrorist personnel collaborating in
improvised explosive device attacks. Following the fractal approach to representing an environment, the
SEAS-NRT models operate on the same entities that SEAS-VIS models operate on. In this way, SEASNRT and SEAS-VIS are coupled together in a Society of Models. Individuals respond to the media and
world public opinion models in SEAS-VIS, placing the individual in a dynamic global context, while also
enabling the individuals to sense and react to local events in real time.
Model integration within SEAS and application of SEAS to the tactical, kinetic realm, have been facilitated
by SimBridge, an implementation of the Society Approach. Through SimBridge, SEAS has been integrated
with Joint Semi-Automated Forces (JSAF) federations that implement the High Level Architecture (HLA)
approach to simulation integration. SEAS connected to JSAF through a liaison that joined the JSAF
federation as a single federate. In this way, SEAS was enabled to interact with CultureSim, CBSim, realtime HITL players, and many other components. SEAS interacts with CultureSim to represent real-time
population movement and activity. SEAS with input from a Chemical Biological Simulation (CBSim)
capture the influence of chemical and biological dispersions on population behavior.
Supporting the Society of Systems approach, the SimBridge Data Service (SDS) provides a query interface
through which visualizations, analysis tools, and external data base systems can leverage data residing in
shared reality. For UR 2015, SDS provided a selection of statistics representing the state of SEAS models
at various granularities to an external data repository, Future After Action Review System (FAARS), and to
Tactical Simulation (TACSIM), modeling human intelligence gathering. TACSIM used statistics such as
public opinion of Blue (one side in the multiplayer war game) to determine the willingness of the
population in a city sector to provide intelligence reports.
eXtensible Net Assessment (xNA)
Underlying SEAS is an ontological representation of SEAS knowledge within the eXtensible Net
Assessment (xNA) component. A repository populated by analysts’ understanding of Operational Net
Assessment (ONA) is matched with corresponding entities in xNA, enabling SEAS to draw from classified
ONA data to conduct certain classified excursions in UR2015. Also, selected types of changes that occur
within the simulation run time are persisted back into xNA, creating a dynamic ONA.
xNA represents knowledge tagged with the perspective, source, and excursion where the knowledge
originates from. This enables analysis tools to perform cross-COA analysis, such as tracking the emergent
growth of an insurgent organization in multiple scenarios where different actions were taken against terror