Modeling and Simulation Basics Course Questions and Answers 2023 with complete solution

Modeling and Simulation Basics Course Questions and Answers 2023 with complete solution system - a combination of components that act together to perform a function not possible with any of the individual components. model - a physical, mathematical or otherwise logical representation of a system, entity, phenomenon or process. simulation - a method for executing a model to extract data concerning model behavior visualization - the use of computer graphics and visual techniques to provide a visual representation of simulation-related information analysis - the use of mathematically based techniques to obtain information from data and to arrive at a good or optimal decisions in complex situations modeling and simulation - the use of models and simulations, combined with analysis and visualization, to develop information for managerial or technical decisions and/or for training stochastic models - many models contain parameters that are described by random variables; simulation of these models results in outputs that are so also random variables; analysis of these systems requires the application of concepts from the area of mathematics called probability and statistics Why is the importance of stochastic models to M&S? - (1) generation of random numbers and random variates; (2) statistical modeling of simulation input data; (3) statistical modeling of simulation output data; (4) techniques to enhance precision and confidence for a given number of trial runs Why are humans important in M&S? - most simulations are designed to interface with a human user at some point in the M&S process; many complex systems contain humans as system components; the use of M&S to study complex systems requires an understanding of how to interface with and represent humans human factors (HF) - knowledge of human cognition and perception; basics of how to interface effectively with humans human/computer interfacing (HCI) - study of how to design effective and efficient interfaces between a computer simulation and a human operator human behavior modeling (HBM) - study of how to model computationally the process of human decision making Dr. Rita R. Colwell, Director, U.S. National Science Foundation, National Press Club, 1999 - "Science used to be composed of two endeavors, theory and experiment. Now it has a third component: computer simulation which links the other two." continuous-state system - a system in which the state space Q consists of vectors which can assume a continuum of real or complex values discrete-state system - a system in which the state space Q consists of vectors which can assume only a discrete set of real or complex values; as a consequence changes occur at discrete time instants. event-driven (discrete-state system) - In discrete-state systems, discrete state changes occur only at certain points in time through instantaneous transitions; with each state transition, we associate an event. Further, we attribute the state transition to the occurrence of the event. event - a specific instantaneous action or occurrence which results in an instantaneous change of system state in a discrete state system. time driven (continuous-state system) - one of the most common models for continuous-state systems is the differential equation; these models are derived using the physical laws governing the behavior of a system; the system response varies as a continuous function of time, even when there is no change int he system inputs. Thus, the system state appears to evolve simply because time advances. continuous-time system - a system in which the time variable is represented by a continuous variable t discrete-time system - a system in which the time variable is represented by a sequence of discrete time values deterministic system - a system in which all variables are deterministic (not random); the