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| 02064cam 2200301za 4500 |
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| 001 | 9.821338 |
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| 003 | CaOODSP |
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| 005 | 20221107143431 |
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| 007 | cr ||||||||||| |
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| 008 | 160719s2012 onc|||||o f000 0 eng d |
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| 040 | |aCaOODSP|beng |
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| 041 | |aeng|bfre |
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| 043 | |an-cn--- |
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| 086 | 1 |aD68-6/169-2011E-PDF |
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| 100 | 1 |aZotov, Vladimir, |d1964- |
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| 245 | 10|aIPME model of dynamic decision-making in C3Fire platform |h[electronic resource] / |cby Vlad Zotov. |
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| 260 | |a[Ottawa] : |bDefence Research and Development Canada, |cc2012. |
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| 300 | |avi, 24 p. : |btables, graphs. |
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| 490 | 1 |aTechnical Memorandum ; |v2011-169 |
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| 500 | |a"March 2012." |
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| 504 | |aIncludes bibliographical references. |
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| 520 | |aRecent developments in microworld-based experiments provide researchers with an opportunity to conduct complex and dynamic experiments in laboratory-controlled environments, thus narrowing the gap between laboratory-based and field experiments. The performance assessment in a dynamic decision making environment, however, requires new modeling techniques for evaluation and analysis of data. This memorandum discusses the application of Hierarchical Goal Analysis and IPME modeling to evaluate cognitive systems in a distributed team environment. The HGA-derived goals and controlled variables provided a basis for modeling and were embedded into a dynamic IPME model. The use the HGA outputs as the basis for the development of a computational model for predicting subject performance under specific task conditions. The model replicated some basic findings of empirical study conducted with C3Fire platform. An implementation of HGA into IPME model shows promising results. |
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| 692 | 07|2gccst|aTechnical reports |
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| 693 | 07|aDynamic decision making |
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| 693 | 07|aControlled variables |
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| 710 | 1 |aCanada. |bDefence R&D Canada. |
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| 830 | #0|aTechnical memorandum (Defence R&D Canada)|v2011-169|w(CaOODSP)9.820564 |
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| 856 | 40|qPDF|s615 KB|uhttps://publications.gc.ca/collections/collection_2016/rddc-drdc/D68-6-169-2011-eng.pdf |
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