A constraint-based approach to scheduling an individual's activities
Abstract
The goal of helping to automate the management of an individual's time is ambitious in terms both of knowledge engineering and of the quality of the plans produced by an AI system. Modeling an individual's activities is itself a challenge, due to the variety of activity, constraint, and preference types involved. Activities might be simple or interruptible; they might have fixed or variable durations, constraints over their temporal domains, and binary constraints between them. Activities might require the individual being at specific locations in order, whereas traveling time should be taken into account. Some activities might require exclusivity, whereas others can be overlapped with compatible concurrent activities. Finally, while scheduled activities generate utility for the individual, extra utility might result from the way activities are scheduled in time, individually and in conjunction.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- Nov 01, 2010
- Source ID
- 10.1145/1869397.1869401
Entities
People
- Ioannis Refanidis
- Neil Yorke-smith
Organizations
- American University of Beirut
- Defense Advanced Research Projects Agency
- University of Macedonia