Decision Support for Crew Scheduling using Automated Planning
The decision assistant will make use of automated planning technology to assist human planners. The guidelines of Naturalistic Decision Making (NDM) and the Human-In-The -Loop decision making were followed to make sure that the human is always in the driver's seat. The use cases considered are standard situations which come up during decision-making in crew-scheduling. The effectiveness of automated decision assistance was evaluated by setting it up for domain experts on a comparable domain of scheduling courses for master students. The results of the user study evaluating the effectiveness of automated decision support were subsequently published.]]>autMIshra, Aditya PrasadthsKambhampati, SubbaraodgcChiou, ErindgcDemakethepalli Venkateswara, Hemanth KumarpblArizona State UniversityengMasters Thesis Computer Science 2019https://hdl.handle.net/2286/R.I.5373800Masters ThesisAcademic theses81 pages115579414751630032421157313adminIn Copyright2019TextComputer Scienceartificial intelligenceautomated planningCrew SchedulingDecision SupportHuman-in-the-loopNaturalistic Decision Making