LE3 .A278 2012

2012

Shakshuki, Elhadi

Acadia University

Master of Science

Masters

Computer Science

Computer Science

Scheduling meetings while trying to accommodate many individual agendas is time-consuming and problematic. As such, there has been ongoing research to automate the scheduling process. This thesis views meeting scheduling as a strategic agreement problem. In a strategic environment, negotiation strategies play a crucial role in concluding the negotiation process and bringing a collaborative win-win result that satisfies all parties. This thesis proposes a software agent for scheduling meetings and also proposes a negotiation protocol for the proposed agent. The agent is designed to assist users to make rational decisions and select appropriate negotiation strategies to avoid or resolve meeting conflicts automatically. The proposed agent is designed using a model-based and goal-based methodology which communicates with other agents using the proposed negotiation protocol. The proposed negotiation protocol is designed by using the Simultaneous Response Protocol. The Naïve Bayes model of Maximum Likelihood Estimation is used for evaluating meeting invitations and making decisions which is subject to user preferences, participants’ status, past experiences and schedule availability.

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https://scholar.acadiau.ca/islandora/object/theses:264