Quiz
SM-Modeling
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Questions in this quiz (14)
1Fill in the blanks
- ASimulation
2Categories of simulation models:
[blank_start]Static[blank_end] vs. [blank_start]Dynamic[blank_end]
[blank_start]Deterministic[blank_end] vs. [blank_start]Stochastic[blank_end]
[blank_start]Continuous[blank_end] vs. [blank_start]Discrete[blank_end]- AStatic
- BDynamic
- CDeterministic
- DStochastic
- EContinuous
- FDiscrete
3Discrete-Event Simulation is [blank_start]dynamic[blank_end], [blank_start]stochastic[blank_end], and [blank_start]discrete[blank_end].
- Adynamic
- Bstochastic
- Cdiscrete
4Benefits of agent-based simulation: [blank_start]social[blank_end] [blank_start]behavior[blank_end].
- Asocial
- Bbehavior
5[blank_start]System[blank_end] [blank_start]state[blank_end] is a collection of [blank_start]variables[blank_end] ([blank_start]state[blank_end] [blank_start]variable[blank_end]) necessary to describe a system at a particular time.
- ASystem
- Bstate
- Cvariable
- Dvariables
- Estate
6[blank_start]Event[blank_end] is an [blank_start]instantaneous[blank_end] [blank_start]occurrence[blank_end] that may change the [blank_start]state[blank_end] of system.
- AEvent
- Binstantaneous
- Coccurrence
- Dstate
7Time advance mechanisms include [blank_start]simulation[blank_end] [blank_start]clock[blank_end], the [blank_start]variable[blank_end] in a simulation that gives the current value of [blank_start]simulated[blank_end] [blank_start]time[blank_end].
- Asimulation
- Bclock
- Cvariable
- Dsimulated
- Etime
8Approaches for advancing the simulation clock: [blank_start]fixed-increment[blank_end] [blank_start]time[blank_end] [blank_start]advance[blank_end], [blank_start]next-event[blank_end] [blank_start]time[blank_end] [blank_start]advance[blank_end].
- Afixed-increment
- Btime
- Cadvance
- Dnext-event
- Etime
- Fadvance
9Draw the step flow of a simulation study
- AI can.
- BI can’t.
10Discuss the pros, cons, pitfalls of simulation.
- AI can.
- BI can’t.
11Types of simulation:
Physical models involved?
[blank_start]Computer[blank_end] simulation
[blank_start]Physical[blank_end] simulation
[blank_start]Semi-physical[blank_end] simulation
Time scale
[blank_start]Real-time[blank_end] simulation
[blank_start]Faster-than-real-time[blank_end] simulation
[blank_start]Slower-than-real-time[blank_end] simulation
Location
[blank_start]Single platforms[blank_end] vs. [blank_start]distributed[blank_end]- AComputer
- BPhysical
- CSemi-physical
- DReal-time
- EFaster-than-real-time
- FSlower-than-real-time
- GSingle platform
- Hdistributed
12System is a [blank_start]collection[blank_end] of [blank_start]entities[blank_end].
- Acollection
- Bentities
13System complexity = [blank_start]interdependencies[blank_end] + [blank_start]variability[blank_end]
- Ainterdependencies
- Bvariability
14We define an agent-based simulation to be a [blank_start]DES[blank_end] where the entities ([blank_start]agents[blank_end]) do, in fact, [blank_start]interact[blank_end] with other entities and their [blank_start]environment[blank_end] in a major way.
- ADES
- Bagents
- Cinteract
- Denvironment
Information
- Description
- - SM Quiz on SM-Modeling, created by Jingyang Lyu on 07/01/2019.
- Author
- Jingyang Lyu
- Language
- English
- Views
- 6
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