Planning and Learning: On to Real Applications
Papers from the 1994 Fall Symposium
Yolanda Gil and Manuela Veloso, Program Cochairs
Technical Report FS-94-01. Published by The AAAI Press, Menlo Park, California
This technical report is also available in book and CD format.
Please Note: Abstracts are linked to individual titles, and will appear in a separate browser window. Full-text versions of the papers are linked to the abstract text. Access to full text may be restricted to AAAI members. PDF file sizes may be large!
Contents
Preface / 1
Yolanda Gil and Manuela Veloso
Invited Talks / 1
Richard E. Korf, Steven N. Minton
GE’s Applications of Case-Based Reasoning / 1
Jim Aragones and Piero Bonissone
Incremental Learning of Control Knowledge for Improvement of Planning Efficiency and Plan Quality / 5
Daniel Borrajo and Manuela Veloso
Search Space Characterization for a Telescope Scheduling Application / 10
John Bresina, Mark Drummond, and Keith Swanson
Case-Based Plan Recognition in Dynamic Domains / 16
Dolores Canamero, Yves Kodratoff, Jean-Francois Delannoy, and Michel Bares
Towards an Intelligent Planning Knowledge Base Development Environment / 23
Steve Chien
Why Real-World Planning is Difficult / 28
Steve Chien, Randall W. Hill, Jr., and Kristina Fayyad
Knowledge Development Methods for Planning Systems / 34
Marie desJardins
On Analyzing Planning Applications / 41
Yolanda Gil and Marc Linster
Applying a General-Purpose Planning and Learning Architecture to Process Planning / 48
Yolanda Gil and M. Alicia Perez
Learning About Software Errors Via Systematic Experimentation / 53
Terrance Goan and Oren Etzioni
Route Planning and Learning from Execution / 58
Karen Zita Haigh, Jonathan R. Shewchuk, and Manuela Veloso
Planning Using Least-Commitment to Operator Selection / 65
Caroline C. Hayes
Knowledge Acquisition and Reactive Planning for the Deep Space Network / 72
Randall W. Hill, Jr., Kristina Fayyad, Patricia Santos, and Katheryn Sturdevant
Learning Intermediate Goals and Methods from Situated Instructions / 78
Scott B. Huffman
Planning in the Tactical Air Domain / 83
Randolph M. Jones, Robert Wray, Michael van Lent, and John E. Laird
Applying a General-Purpose Planner to the Problem of Query Access Planning / 88
Craig A. Knoblock
Industrial Applications of ML: Illustrations for the KAML Dilemma and the CBR Dream / 93
Yves Kodratoff and Herve Mignot
Practical Planning in COLLAGE / 98
Amy Lansky and Lise C. Getoor
Some Issues in Practical Planning with Implications for Learning / 105
Paul Lehner and Chris Elsaesser
The Use of Sort Abstraction in Planning Domain Theories / 109
T. L. McCluskey and J. M. Porteus
Toward Real-World Science Mission Planning / 114
Nicola Muscettola and Barney Pell
Planning for Machining Workpieces with a Partial-Order, Nonlinear Planner / 121
Juergen Paulokat and Stefan Wess
Planning and Learning in Domains Providing Little Feedback / 126
David Pautler
A Real Time Multi-Agent Planner for a Specific Application / 132
Carlos Pinto-Ferreira, Alexandre Malheiro Bernadino, and Cesar Santos Silva
Learning to Solve Complex Planning Problems: Finding Useful Auxiliary Problems / 137
Peter Stone and Manuela Veloso
Building Adaptive Autonomous Agents for Adversarial Domains / 142
Gheorghe Tecuci, Michael R. Hieb, David Hille, and J. Mark Pullen
IPLM: A Medical Decision-Making System Based on Planning and Learning Methods / 149
Shusaku Tsumoto and Hiroshi Tanaka
Learning by Observation and Practice: Towards Real Applications of Planning Systems / 156
Xuemei Wang and Jaime Carbonell
Integrating Planning and Reactive Control / 161
David E. Wilkins and Karen L. Myers
Author Index / 165