Leonardo Garrido, ITESM, Mexico, and Katia Sycara, Carnegie Mellon University, USA
We view meeting scheduling as a distributed task where each agent knows its user’s preferences and calendar availability in order to act on behalf of its user. Although we may have some intuitions about how some parameters could affect the scheduling efficiency and meeting quality, we run several experiments in order to explore the tradeoffs between different parameters. Our experiments show how the calendar and preference privacy affect the schedulling efficiency and the meeting joint quality under different experimental scenarios. The results show how the schedulling performance is more stable and constant when agents try to keep both calendar and preference privacy. We believe that these parameters play a key role in the distributed meeting scheduling task, specially if we are interested in building distributed systems with truly autonomous and independent agents where there is not a fixed centralized host agent.