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Building on the Synergy of Machine and Human Reasoning to Tackle Data-Intensive Collaboration and Decision Making

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Intelligent Decision Technologies

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 10))

Abstract

This paper reports on a hybrid approach aiming to facilitate and augment collaboration and decision making in data-intensive and cognitively-complex settings. The proposed approach exploits and builds on the most prominent high-performance computing paradigms and large data processing technologies to meaningfully search, analyze and aggregate data existing in diverse, extremely large and rapidly evolving sources. It can be viewed as an innovative workbench incorporating and orchestrating a set of interoperable services that reduce the data-intensiveness and complexity overload at critical decision points to a manageable level, thus permitting stakeholders to be more productive and concentrate on creative activities.

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Author information

Authors and Affiliations

  1. University of Patras and RA CTI, 26504, Rio Patras, Greece

    Nikos Karacapilidis, Manolis Tzagarakis & Spyros Christodoulou

  2. Schloss Birlinghoven, Fraunhofer IAIS, 53754, Sankt Augustin, Germany

    Stefan Rüping & Axel Poigné

Authors
  1. Nikos Karacapilidis
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  2. Stefan Rüping
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  3. Manolis Tzagarakis
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  4. Axel Poigné
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  5. Spyros Christodoulou
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Editor information

Editors and Affiliations

  1. Graduate School of Information, Production and Systems (IPS), Waseda University, 2-7 Hibikino Wakamatsuku, 808-0135, Fukuoka, Kitakyushu, Japan

    Junzo Watada

  2. Sellinger School of Business and Management, Loyola University Maryland, 4501 N Charles Street, 21210, Baltimore, MD, USA

    Gloria Phillips-Wren

  3. School of Electrical and Information Engineering, University of South Australia, Mawson Lakes Campus Adelaide, 5095, South Australia, SA, Australia

    Lakhmi C. Jain

  4. KES International, Shoreham-by-seaWest Sussex, PO Box 2115, BN43 9AF, United Kingdom

    Robert J. Howlett

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© 2011 Springer-Verlag Berlin Heidelberg

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Karacapilidis, N., Rüping, S., Tzagarakis, M., Poigné, A., Christodoulou, S. (2011). Building on the Synergy of Machine and Human Reasoning to Tackle Data-Intensive Collaboration and Decision Making. In: Watada, J., Phillips-Wren, G., Jain, L.C., Howlett, R.J. (eds) Intelligent Decision Technologies. Smart Innovation, Systems and Technologies, vol 10. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22194-1_12

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  • DOI: https://doi.org/10.1007/978-3-642-22194-1_12

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-22193-4

  • Online ISBN: 978-3-642-22194-1

  • eBook Packages: EngineeringEngineering (R0)

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