Prelude for experience mining: (re-)using relevant experience for smart decision support

Jolán Velencei, Viktor Dörfler, Zoltán Baracskai, Jaszmina Szendrey

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Abstract

After 10 years in teaching a variety of topics in decision making one of the authors decided to develop a tool that can help decision makers to consolidate their knowledge around a particular decision problem. The three remaining authors have joined the R&D team over the next two decades; the work resulted in the Doctus knowledge-based system which is currently 25 years in development. In the most recent incarnation of Doctus we are able to identify relevant patterns from previous decisions by other decision makers, learning from which can be helpful to the decision makers with the decision situation at hand. In this paper we introduce the latest incarnation of our Doctus KBS, featuring three distinct ways of reasoning; the newest 'third way of reasoning' supports reusing previous decision experience. As far as we know, Doctus is currently the only decision support tool capable of identifying relevant experience as well as learning from it. In this paper we provide a prelude for how the new solution should work in real-life decision support.
Original languageEnglish
Pages558-562
Publication statusPublished - 17 Apr 2015
Event3rd International OFEL Conference on Governance, Management and Entrepreneurship - University of Dubrovnik, Dubrovnik, Croatia
Duration: 17 Apr 201518 Apr 2015
http://www.ciru.hr/index.php/ofel-conference/3rd-international-ofel-conference-2015

Conference

Conference3rd International OFEL Conference on Governance, Management and Entrepreneurship
Abbreviated titleOFEL 2015
CountryCroatia
CityDubrovnik
Period17/04/1518/04/15
Internet address

Keywords

  • experience mining
  • expert systems
  • decision support systems
  • knowledge-based systems
  • decision making
  • patterns of cognition
  • smart decision

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