Goal Transformations in Continuous Planning

Continuous planning refers to the process of planning in a world under continual change. Traditionally, as new world information is encountered, a planner adapts to it through the refinement of the plans that are under construction. The major thesis of this paper, however, is that often it is necessary to modify the goals of the planner in addition to the plans themselves. We introduce the concept of goal transformations in a continuous planner. The extended planner can automatically select the appropriate goal transformations in response to world changes and can completely solve the transformed problem. We present a set of goal transformations that handle, in particular, changes in resources in the world. We introduce a detailed taxonomy of goal transformations. We implemented several transformations within a planning system, and we show empirical results that demonstrate the effectiveness of our approach.

[1]  Manuela Veloso,et al.  Supporting Combined Human and Machine Planning: The Prodigy 4.0 User Interface Version 2.0* , 1997 .

[2]  Manuela M. Veloso,et al.  Planning and Learning by Analogical Reasoning , 1994, Lecture Notes in Computer Science.

[3]  John L. Bresina,et al.  Anytime Synthetic Projection: Maximizing the Probability of Goal Satisfaction , 1990, AAAI.

[4]  Oren Etzioni,et al.  PRODIGY4.0: The Manual and Tutorial , 1992 .

[5]  Stephen F. Smith,et al.  Proceedings: The Fourth International Conference on Artificial Intelligence Planning Systems , 1998 .

[6]  Manuela M. Veloso,et al.  FLECS: Planning with a Flexible Commitment Strategy , 1995, J. Artif. Intell. Res..

[7]  Eugene Fink,et al.  Integrating planning and learning: the PRODIGY architecture , 1995, J. Exp. Theor. Artif. Intell..

[8]  Steven Minton,et al.  Learning search control knowledge , 1988 .

[9]  Peter Norvig,et al.  Artificial Intelligence: A Modern Approach , 1995 .

[10]  Eugene Fink,et al.  Formalizing the PRODIGY planning algorithm , 1996 .

[11]  James A. Hendler,et al.  A Review of AI Planning Techniques , 1990 .

[12]  Manuela M. Veloso,et al.  Supporting Combined Human and Machine Planning: An Interface for Planning by Analogical Reasoning , 1997, ICCBR.

[13]  Manuela M. Veloso,et al.  Controlling for Unexpected Goals when Planning in a Mixed-Initiative Setting , 1997, EPIA.

[14]  David A. Shlapak,et al.  Perspectives on Theater Air Campaign Planning , 1995 .

[15]  P. Davis New Challenges for Defense Planning: Rethinking How Much is Enough , 1995 .

[16]  Steve Hanks,et al.  Optimal Planning with a Goal-directed Utility Model , 1994, AIPS.