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Teamoriented, Designfocused Simulation Tools: Massively Multiplayer Games in the Engineering Workpla

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Engineering Simulator ? Roger A. Dougal. Dept of Electrical Engineering. University of South Carolina ... simulator be a training device for future engineers? ... – PowerPoint PPT presentation

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Title: Teamoriented, Designfocused Simulation Tools: Massively Multiplayer Games in the Engineering Workpla


1
Team-oriented, Design-focused Simulation
ToolsMassively Multiplayer Games in the
Engineering Workplace !?orThe Google Earth
version of an Engineering Simulator ?
Presented at SCS Summer Simulation
MulticonferenceJuly 17, 2007 San Diego, CA
  • Roger A. Dougal
  • Dept of Electrical Engineering
  • University of South Carolina

2
The Ten Words
  • View-centric
  • Multiplayer
  • Hardware-interactive
  • Management-aware
  • Poly-lingual
  • Service-oriented
  • Multi-, multi-, multi-
  • Uncertain
  • Delimitative
  • Produceable
  • Mind-amplifying

3
View-centric
4
View-centric
Our conference hotel
Somewhere in Colorado
You can see the details
You KNOW that you cant see the details
5
View-centric
6
Multiplayer
7
Hardware-interactive
8
Management-aware
9
Poly-lingual
10
Simulation Services
11
Multi-player Multi-resolution
Multi-rate Multi-lingual
12
Delimitative
13
Uncertain
14
Produce-able
15
Mind-Amplifying
16
Summary of the Challenges
  • What is the correct model resolution on the
    periphery of the focus?
  • How do I smoothly and dynamically switch model
    resolution?
  • At each increasing level of resolution how do I
    initialization the larger system model at the
    current operating point?
  • What methods and structures should I use to
    organize refinement of a system across
    disciplines maintaining (or creating new)
    interconnects at the various resolutions
  • How do still-uncertain parts of the system
    interact with well-defined parts of the system?

17
Summary of the Challenges
  • What form of interaction with the simulation is
    interpreted by the simulator as a request for
    more-or-less resolution? (Spatial zooms might not
    be everything!)
  • How do I estimate uncertainty at every point in
    the system, when the uncertainty may be dynamic,
    and a cumulative result of many incremental
    uncertainties?
  • What is the graphical means or algorithm by which
    I represent uncertainty?
  • How do I deal with uncertainties in discrete
    event?
  • In a many-user system model, how do I keep
    abreast of changes that significantly affect my
    parts of the system, without being overwhelmed by
    changes that dont?

18
Summary of the Challenges
  • If another user wants to add an interaction point
    with my part of the system, how is that
    negotiated? Through how many levels of detail
    must it be propagated?
  • How do I capture requirements for interface
    standards within the simulation models?
  • At what level are controls broken out from
    idealized models that wrap up control with the
    hardware?
  • How do I understand the basic outer limits of
    system performance before Ive designed the
    controls?
  • Who is going to develop all of the generic
    power interfaces to all of the rest of the
    physical world? Is it possible to define generic
    interfaces? Or are they all application specific?

19
Summary of the Challenges
  • How does the system simulation wrap up
    administrative details like project decomposition
    and compartmentalization?
  • How often should the comprehensive simulation
    model be run and monitored by all of the involved
    parties to be sure that the system design has not
    strayed off-course?
  • Can an engineering simulator be a training device
    for future engineers?
  • How do I bracket acceptable performance of the
    system, so that I know that the as-built system
    is sufficiently close to the system model that
    specifies the system?
  • Is it possible for a simulation model to specify
    a system at a high level, without restricting
    implementation options?

20
Summary of the Challenges
  • How do I propagate uncertainty through discrete
    events?
  • Do I have to represent uncertainty in every
    single component?
  • Will it be possible some day to turn over a
    simulation model of a ship to a digital factory
    that will then produce the ship without human
    intervention?
  • How do we most-effectively capture human thoughts
    in the design and simulation process and use
    those human thoughts to guide the design in the
    most appropriate ways?

21
Summary of the Challenges
  • What are YOUR challenges?
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