What is meant by a 'system's state' in simulation?

In the context of simulation, a "system's state" provides a comprehensive snapshot of all the variables that characterize the current condition of the system being modeled. This complete description is crucial because it allows for accurate representation and analysis of the system at any given point in time. The variables included in this state can include anything from quantities, attributes, and conditions that play a role in the system's behavior.

For instance, in a simulation designed to model traffic flow, the system's state might encompass variables such as the number and speed of cars, traffic light statuses, and road conditions. By knowing the complete state of the system, one can make informed decisions, analyze performance, and predict future behaviors or outcomes.

In contrast, other options suggest more limited or specific aspects of the simulation process. Initial conditions are only a part of the system's state and do not account for its evolution. The last recorded output is merely a snapshot of one outcome and does not reflect the full complexity of the system's state over time. Predicted outcomes are projections based on the simulation but do not encapsulate the variables that define the system's current status. Thus, the complete description of all variables defining the current status is what accurately captures the essence of a system's state in