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Publication Details

Prioritizing Planning Decisions in Real-World Plan Authoring

by Wolverton, M.

in Proceedings of the ICAPS-04 Workshop on Connecting Planning Theory with Practice

2004.

Abstract

One promising direction for moving AI planning into the real world is to build systems that are more user-centric, in that they allow the user—not the system—to make many of the decisions necessary to create the final plan. However, since there are a large number of decisions to make in the course of producing a plan, shifting the responsibility for those decisions to the human planner runs the risk of overwhelming the human planner with too many choices. One approach to helping the human planner manage the large number of decisions is to automatically prioritize those decisions according to their importance or urgency in the current planning context. This paper describes two methods for automatically prioritizing planning decisions. One is a commitment-based approach, which prioritizes decisions according to the number of future decisions they eliminate from the planning process. The other is an experience-based approach, which prioritizes decisions according to the order in which they have been performed in previous planning sessions. Both approaches have been implemented in PASSAT, a plan-authoring system in which users construct and modify plans interactively using a library of templates.

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Associated Projects

PASSAT

Plan Authoring System based on Sketches, Advice, and Templates (PASSAT)

PASSAT is a user-centric plan-authoring system grounded in the concepts of plan sketches, advice, and templates. PASSAT enables users to quickly develop plans that draw upon past experience encoded in templates, but that are customized to their individual preferences of a given user. The PASSAT core consists of an interactive plan authoring capability; tools for task management, constraint reasoning, plan sketching and causal reasoning provide provide complementary automated capabilities.

AIC Personnel

Name Title E-mail
Wolverton, Michael J Senior Computer Scientist

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