Description - Scaled Worlds by Linda R. Elliott
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. Organizations and universities are rapidly building internet-based systems to 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. These simulation-based systems will rapidly change the nature of research, 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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