Title :
An architecture for user modeling on Intelligent and Adaptive Scheduling Systems
Author :
Madureira, A. ; Cunha, B. ; Pereira, J.P. ; Pereira, I. ; Gomes, S.
Author_Institution :
GECAD - Knowledge Eng. & Decision Support Res. Center, Inst. of Eng. Polytech. of Porto (ISEP/IPP), Porto, Portugal
fDate :
July 30 2014-Aug. 1 2014
Abstract :
User modeling and user adaptive interaction research areas are becoming crucial applied issues to understand and support users as they interact with technology. Modeling the decisions to be made and the constraints placed by market globalization in a way that can address the needs of all stakeholders has been a long time area of academic and industrial research, mainly for Planning, Scheduling, and Strategic decision making areas. Business analysts, developers, and organizations involved in all phases of the business value chain have requirements for applied business insight through modeling. In this paper, an architecture for user modeling on Intelligent and Adaptive Scheduling System is proposed.
Keywords :
adaptive scheduling; decision making; decision support systems; human computer interaction; intelligent manufacturing systems; learning (artificial intelligence); strategic planning; user modelling; HCI; academic research; adaptive scheduling system; business analysis; business development; business organization; business value chain; decision modeling; decision support system; incremental intelligence; industrial research; intelligent agents; intelligent scheduling system; machine learning; market globalization; planning; stakeholders; strategic decision making; user adaptive interaction; user modeling architecture; Adaptive scheduling; Human computer interaction; Runtime; Bayes Network; Dynamic Scheduling; Human-Computer Interaction; Learning; User Modeling;
Conference_Titel :
Nature and Biologically Inspired Computing (NaBIC), 2014 Sixth World Congress on
Conference_Location :
Porto
Print_ISBN :
978-1-4799-5936-5
DOI :
10.1109/NaBIC.2014.6921861
