Diana Cukierman, James Delgrande
We are investigating the representation and reasoning about schedulable, repeated activities, specified using calendars. Examples of such activities include meeting every Tuesday and Thursday during a semester and at tending a seminar every first day of a month. This research provides for a valuable framework for scheduling systems, financial systems and, in general, date-based systems. Very recently work has been done related to reasoning about repetition in the Artificial Intelligence community and others. A partial reference list is provided here. However, to our knowledge no extensive taxonomy of repetition has been proposed in the literature. We believe that reasoning about repeated activities calls for a study and precise definition of the topological characteristics in a repetitive series. In this abstract we summarize a proposal to classify types of repetition according to parameters. The combination of all possible values of these parameters provides a complete taxonomy of repetitive classes with respect to the proposed parameters. Several notions of repetition are considered, some are extremely general, some are very specific.