Date of Award
2009
Publication Type
Master Thesis
Degree Name
M.Sc.
Department
Computer Science
Keywords
Artificial Intelligence.
Supervisor
Tawfik, Ahmed (Computer Science)
Rights
info:eu-repo/semantics/openAccess
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Abstract
Meeting scheduling is a common task for organizations of all sizes. It involves searching for a time and place when and where all the participants can meet. However, scheduling a meeting is generally difficult in that it attempts to satisfy the preferences of all participants. Negotiation tends to be an iterative and time consuming task. Proxy agents can handle the negotiation on behalf of the individuals without sacrificing their privacy or overlooking their preferences. This thesis examines the implications of formalizing meeting scheduling as a spatiotemporal negotiation problem. The “Children in the Rectangular Forest” (CRF) canonical model is applied to meeting scheduling. By formalizing meeting scheduling within the CRF model, a generalized problem emerges that establishes a clear relationship with other spatiotemporal distributed scheduling problems. The thesis also examines the implications of the proposed formalization to meeting scheduling negotiations. A protocol for meeting location selection is presented and evaluated using simulations.
Recommended Citation
Al-Ani, Hijaz, "Spatio-Temporal Context in Agent-Based Meeting Scheduling" (2009). Electronic Theses and Dissertations. 310.
https://scholar.uwindsor.ca/etd/310