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Decision Support for Crew Scheduling using Automated Planning

Abstract Allocating tasks for a day's or week's schedule is known to be a challenging and difficult problem. The problem intensifies by many folds in multi-agent settings. A planner or group of planners who decide such kind of task association schedule must have a comprehensive perspective on (1) the entire array of tasks to be scheduled (2) idea on constraints like importance cum order of tasks and (3) the individual abilities of the operators. One example of such kind of scheduling is the crew scheduling done for astronauts who will spend time at International Space Station (ISS). The schedule for the crew of ISS is decided before the mission starts. Human planners take part in the decision-making process to determine the timing of activit... (more)
Created Date 2019
Contributor MIshra, Aditya Prasad (Author) / Kambhampati, Subbarao (Advisor) / Chiou, Erin (Committee member) / Demakethepalli Venkateswara, Hemanth Kumar (Committee member) / Arizona State University (Publisher)
Subject Computer science / Artificial intelligence / Automated Planning / Crew Scheduling / Decision Support / Human-in-the-loop / Naturalistic Decision Making
Type Masters Thesis
Extent 81 pages
Language English
Note Masters Thesis Computer Science 2019
Collaborating Institutions Graduate College / ASU Library
Additional Formats MODS / OAI Dublin Core / RIS

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Description Dissertation/Thesis