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General Joint Sessions and Workshops of IMCIC 2015 and its Collocated Events

March 10-13, 2015 ~ Orlando, Florida, USA

Adaptive Intelligent Management Systems for IT-Based Decision Support within Complex Reachback Processes
Professor Stefan Wolfgang Pickl, Department of Computer Science, Universität der Bundeswehr München, Germany; Chair of the Advisory Board of the German Society for Operations Research (GOR); Chair of the GOR working group “Simulation and Optimization of Complex Systems” Foundation of COMTESSA.

Video
Video
Bio
Bio
Abstract
Abstract

Professor Stefan Pickl studied mathematics, electrical engineering, and philosophy at TU Darmstadt and EPFL Lausanne 1987-93. Dipl.-Ing. ’93, Doctorate 1998 with award. Assistant Professor at Cologne University (Dr. habil. 2005). Visiting Professor at University of New Mexico (U.S.A.), University Graz (Austria), University of California at Berkeley, Naval Postgraduate School NPS Monterey (U.S.A.).  Visiting scientist at SANDIA, Los Alamos National Lab, Santa Fe Institute for Complex Systems and MIT. Associated with Centre for Information Technology and Algorithms CITA (USA), Center for Network Innovation and Experimentation CENETIX, International Best Paper Awards ’03, ’05, '07.  Chair of the Advisory Board of the German Society for Operations Research (GOR). Chair of the GOR working group “Simulation and Optimization of Complex Systems”. Foundation of COMTESSA.

This talk intends to strenghten that adaptive intelligent management systems are central elements for an intelligent IT-based decision support within complex reachback processes. Modern civilisation is expressed by network structures, big data and complex analytic processes. An holistic decision support approach should enable the flexible coordination between multiple disciplines and responsibilities which is realized via a multilayered reachback architecture.
In order to analyse now such complex adaptive systems agent-based modelling, simulation and complex analytics are an appropriate methodology for the optimization of resilient systems. The so-called IRIS (Integrated Reachback Information System)-approach focuses on the development of a technical platform that integrates these techniques.



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