CH 10
1. In agent-based modeling, agents are a. autonomous rule-based decision making units. b. the human workers or agents who use the system. c. the hardware platform used to conduct the simulation. d. communication links between simulations.
a. autonomous rule-based decision making units.
1. Which approach is most suited to complex problems with significant uncertainty, a need for experimentation, and time compression? a. simulation b. genetic algorithms c. optimization d. human intuition
a. simulation
1. How does blind search differ from optimization? a. Blind search cannot result in optimal solutions whereas optimization methods do. b. Blind search usually does not conclude in one step like some optimization methods. c. Blind search is usually a more efficient problem solving approach than optimization. d. Blind search represents a guided approach while optimization is unguided.
b. Blind search usually does not conclude in one step like some optimization methods.
1. Which of the following is an advantage of simulation? a. It always results in optimal solutions. b. It can incorporate significant real-life complexity. c. It solves problems in one pass with no iterations. d. Simulation software requires special skills.
b. It can incorporate significant real-life complexity.
1. In which stage of the simulation methodology do you determine how long to run the simulation? a. defining the problem b. designing the experiment c. testing and validating the model d. constructing the simulation model
b. designing the experiment
1. What BEST describes a simulation model with a limited number of variables, each with a finite number of values? a. Monte Carlo simulation b. discrete event simulation c. continuous distribution simulation d. system dynamics simulation
b. discrete event simulation
1. Agent-based modeling is best for all the following types of problem features EXCEPT a. many interrelated factors. b. low uncertainty. c. irregular data. d. complex interactions.
b. low uncertainty.
1. What can system dynamics modeling be used for? a. micro-level simulation models that examine individual values b. qualitative methods for analyzing a system c. simulation models that test each subsystem in isolation d. studying system behavior at an instant in time
b. qualitative methods for analyzing a system
1. In modeling, an optimal solution is understood to be a. a solution found in the least possible time and using the least possible computing resources. b. a solution that can only be determined by an exhaustive enumeration and testing of alternatives. c. a solution that is the best based on criteria defined in the design phase. d. a solution that requires an algorithm for determination.
c. a solution that is the best based on criteria defined in the design phase.
1. Genetic algorithms belong to the family of methods in the a. optimization area. b. complete enumeration family of methods. c. artificial intelligence area. d. non-computer based (human) solutions area.
c. artificial intelligence area.
1. Which approach is most suited to structured problems with little uncertainty? a. simulation b. genetic algorithms c. optimization d. human intuition
c. optimization
1. The advantages of visual interactive simulation include all of the following EXCEPT a. the ability to see how a simulation works. b. improved presentation of simulation results. c. reduced need for decision maker involvement. d. improvements in training using the simulation.
c. reduced need for decision maker involvement.
1. What is the final stage of an agent-based modeling (ABM) methodology? a. identifying the agents and determining their behavior b. determining the suitability of ABM c. validating agent behavior against reality d. determining agent-related data
c. validating agent behavior against reality
1. In which stage of the simulation methodology do you determine the system's boundaries and environment? a. defining the problem b. designing the experiment c. testing and validating the model d. constructing the simulation model
d. constructing the simulation model
1. In which stage of the simulation methodology do you determine the variables and gather data? a. defining the problem b. designing the experiment c. testing and validating the model d. constructing the simulation model
d. constructing the simulation model
1. All of the following are true about heuristics EXCEPT a. heuristics are rules of good judgment. b. heuristics are used when the modeler requires a guided approach to problem solving. c. heuristics are used when a solution that is "good enough" is sought. d. heuristics are used when there is abundant time and computational power.
d. heuristics are used when there is abundant time and computational power.
1. The EHR (electronic health record) system dynamics modeling example showed that a. e-notes negatively affect radiology performance. b. increased electronic note-taking negatively affects compliance. c. adverse drug events help to decrease patient time. d. increased staff training results in increased electronic prescriptions.
d. increased staff training results in increased electronic prescriptions.
1. All of the following are suitable problems for genetic algorithms EXCEPT a. dynamic process control. b. simulation of biological models. c. pattern recognition with complex patterns. d. simple optimization with few variables.
d. simple optimization with few variables.
1. What BEST describes a simulation model in which it is not important to know exactly when a modeled event occurred? a. system dynamics simulation b. discrete event simulation c. continuous distribution simulation d. time-independent simulation
d. time-independent simulation
1. When is a complete enumeration of solutions used? a. when there are an infinite number of solutions to be searched b. when the modeler requires a guided approach to problem solving c. when a solution that is "good enough" is fine and good heuristics are available d. when there is enough time and computational power available
d. when there is enough time and computational power available