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/// Education: Modeling and Simulation Basic Definitions

Basic Definitions

Correct Simulation
(association between a simulator and a model). A simulator correctly simulates a model if it is guaranteed to faithfully generate the models behavior in every simulation run.

Experimental Frame
(informal) the conditions under which a system or a model are observed or experimented with.
The data space into which the behavior of an accommodating model or system will be placed.

Model
(informal): rules, equations, and/or constraints for generating behavior resembling that of a system (formal): specification of behavior in a dynamic modelling formalism other meaning:
physical, mathematical, or logical representation of a system, entity, phenomenon, or process

Simulator
computer system (algorithm, single processor, or processor network) capable of executing a model to generate its behavior

System
system (or source system) Real or virtual environment viewed as a source of observational data or more specifically, behavior. This data is viewed or acquired through experimental frame of interest to the modeller. model of the system are constructed in order to generate behavior that is indistinguishable from system behavior within one, or more, experimental frame.

Validity
relation between a model, a system and an experimental frame. Answers the question of whether it is impossible to distinguish the model and system in the experimental frame. In the most basic concept replicative validity, validity is affirmed if, as far as the experiments possible within the experimental frame, the behavior of the model and system agree within acceptable tolerance. Stronger forms of validity are predictive validity and structural validity.