Evolution of the GPGP/TÆMS Domain-Independent Coordination Framework
Autonomous Agents and Multi-Agent Systems
Complex goal criteria and its application in design-to-criteria scheduling
AAAI'97/IAAI'97 Proceedings of the fourteenth national conference on artificial intelligence and ninth conference on Innovative applications of artificial intelligence
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Design-to-Criteria scheduling is the process of custom building a schedule to meet dynamic client goal criteria, using a task model that describes alternate ways to achieve tasks and subtasks. Formerly, Design-to-Criteria scheduling relied on simple expected value characterizations of method outcomes. The recent addition of uncertainty to the task model and its ubiquitous application in Design-to-Criteria scheduling has greatly improved four aspects of the scheduling process: {\it modeling} of tasks and task interactions, {\it evaluation} of schedules and schedule approximations, {\it focusing} of scheduling activities on more certain schedules when uncertainty reduction is important to the client, and {\it construction} of schedules that have more certainty and perhaps employ multiple ways to achieve a particular task to improve certainty. We describe the uncertainty representation and how it improves task models and the scheduling process, and provide empirical examples of uncertainty reduction in action.