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Scaled Worlds: Development, Validation and Applications (Hardcover, New Ed)
Loot Price: R4,675
Discovery Miles 46 750
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Scaled Worlds: Development, Validation and Applications (Hardcover, New Ed)
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This text identifies and discusses emerging challenges and
opportunities arising from advanced-technology simulation-based
microworld analogues of operational environments. These scaled
worlds have been used and advocated for many years. A major
transformation is expected in research and training using new, more
advanced versions of these systems. Technology now affords new
capabilities using PC-based systems. Complex and distributed expert
decision making and team performance can be elicited and rehearsed
through affordable and easily distributed systems. These new
systems will transform the nature of research and training on two
fronts: (1) the content internal (i.e. laboratory control) and
external validity, and (2) who can do the research and/or training,
as these new systems offer more opportunities/options. train,
educate and/or utilize individuals who may be distributed across
the globe. Researchers across the globe will also use these new
capabilities, forging new and multi-discipline research as new
alliances and collaborations are enabled. Research previously
restricted to highly realistic and restricted high-fidelity systems
will be open to more participants and these new processes and
systems will create new opportunities. Such systems will offer more
realism, control and feedback to researchers and trainers.
Distributed systems can link multiple nodes, allowing many
participants to perform within a shared scenario. Scenarios are
more easily constructed and controlled. Opportunities using these
internet-based systems are clear, as evidenced by high funding and
investments in advanced internet-based training systems.
Universities, corporations and DoD organizations are rapidly
escalating their use of such systems for collaborative research,
education, distributed training and distance learning. education
and training for most performance domains. Low to medium fidelity
environments capture knowledge and performance requirements while
retaining high levels of experimental control and generalizability.
This book goes further than others on simulation-based training and
research (which focus on highly realistic systems) by addressing
the issues of scale, fidelity and purpose in more abstracted scaled
world systems. It brings together experts who use these systems,
from a variety of perspectives. Their contributions document
emerging trends and issues with regard to development, utilization
and validation of these emerging scaled world systems.
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