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dc.contributor.authorMacKinnon, Douglas J.
dc.contributor.authorRamsey, Marc
dc.contributor.authorLevitt, Raymond E.
dc.contributor.authorNissen, Mark E.
dc.dateJune 19-21, 2007
dc.date.accessioned2013-11-20T16:08:05Z
dc.date.available2013-11-20T16:08:05Z
dc.date.issued2007-06
dc.identifier.citationHypothesis Testing of Edge Organizations: Empirically Calibrating an Organizational Model for Experimentation, Douglas J. MacKinnon - Stanford University; Marc Ramsey - Stanford University; Dr. Raymond E. Levitt - Stanford University; Dr. Mark E. Nissen - Naval Postgraduate School, papers
dc.identifier.urihttp://hdl.handle.net/10945/37471
dc.description12th International Command and Control Research and Technology Symposium (ICCRTS), June 19-21, 2007 at the Naval War College, Newport, RI.en_US
dc.description.abstractThis paper presents our ongoing efforts to model, simulate, and eventually optimize work and knowledge flows in Edge organizations. We use the extended POW-ER 3.2 framework to model and compare two organizational forms (Edge vs. Hierarchy) to structure participants in a counter-intelligence student exercise, ELICIT -- first without, and then with, learning micro-behaviors enabled in POW-ER 3.2. Empirical, experimental data on learning and forgetting from observtions of student teams conducting repeated trials of the AROUSAL (Lansley, 1982) business simulation exercise at Stanford are used as the basis for calibrating agent learning and forgetting micro-behaviors derived from the cognitive psychology literature. We then compare empirical observations of student teams conducting the ELICIT exercise for both Edge and Hierarchy structures configurations with outputs from POW-ER 3.2 computational simulation models representing teams executing the ELICIT exercise in these two structural configurations. This initial comparison has the potential to further calibrate and validate POW-ER for potential use in analyzing and designing C2 organizations. Further output from ELICIT experiments and other empirical data on learning and forgetting will augment our initial comparison. Calibrated POW-ER 3.2 learning and forgetting micro-behaviors will improve the ability of POW-ER to model and simulate organization-level C2 knowledge flows in Edge vs. Hierarchical organizations.en_US
dc.rightsThis publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.en_US
dc.titleHypothesis Testing of Edge Organizations: Empirically Calibrating an Organizational Model for Experimentationen_US
dc.contributor.departmentCenter for Edge Power


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