Papers

• Rasputin: A Complete Bidirectional Planner Eugene Fink and Jim Blythe, to appear, AIPS 98.
• Analogical Replay for Efficient Conditional Planning Jim Blythe and Manuela Veloso, To appear, AAAI 1997.
• Learning to Improve Uncertainty Handling in a Hybrid Planning System Jim Blythe and Manuela Veloso, in the AAAI Fall Symposium on Learning Complex Behaviors in Intelligent Adaptive Systems, 1996.
• A Representation for Efficient Planning in Dynamic Domains with External Events. Jim Blythe, in the AAAI workshop on Theories of action, Planning and Control: Bridging the gap, 1996.
• Event-based decompositions for reasoning about external change in planners. Jim Blythe, in proceedings of the Third Conference on AI Planning Systems, Edinburgh, 1996.
• The effect of graph layout on inference from social network data
  Jim Blythe, Cathleen McGrath and David Krackhardt, Proceedings of Graph Drawing 95.
  (A longer version is to appear in the Journal of Social Networks .)
• The footprint principle for heuristics for probabilistic planners
  Jim Blythe, In the European Workshop on Planning, 1995.
• Integrating Planning and Learning: The PRODIGY Architecture
  Manuela Veloso, Jaime Carbonell, Alicia Perez, Daniel Borrajo, Eugene Fink and Jim Blythe
  Journal of Theoretical and Experimental AI, 7(1), 1995.
• AI planning in dynamic, uncertain domains, Jim Blythe,
  In AAAI Spring Symposium on Extending Theories of Action, 1995.
• Robust Planning Under Uncertainty, Jim Blythe.
  This is my thesis proposal, presented 16th Jan 95.
• Planning with external events, Jim Blythe,
  in proceedings of the conference on Uncertainty in AI, 1994.
• Decision-theoretic subgoaling for planning with external events,
  Jim Blythe, In AAAI Spring Symposium on Decision-Theoretic Planning, 1994.
• Linkability: Examining Causal Link Commitments in Partial-Order Planning ,
  Manuela Veloso and Jim Blythe, In proceedings of the 2nd conference on AI Planning Systems, 1994.
• The Need for Different Domain-Independent Heuristics,
  Peter Stone, Manuela Veloso and Jim Blythe, In proceedings of the 2nd conference on AI Planning Systems, 1994.
• Integrating Reactive and Deliberative Planning in a Household Robot ,
  Jim Blythe and W. Scott Reilly, AAAI Fall Symposium on Instantiating Real-World Agents, 1993.
  Here's the tech report of more or less the same name.
• An Analysis of Search Techniques for a Totally-ordered Nonlinear Planner,
  Jim Blythe and Manuela Veloso, in proceedings of the 1st conference on AI Planning Systems, 1992.
• Object-Oriented System Modeling with OMT
  Bernd Bruegge, Jim Blythe, Jeff Jackson and Jeff Shufelt,
  Conference Proceedings OOPSLA 92 (Object-Oriented Programming Systems, Languages, and Applications), ACMPress, pp. 359-376, October 1992.

These are too old for me to dig up the postscript:

• On Becoming Reactive, Jim Blythe and Tom Mitchell
  International Workshop on Machine Learning, 1989
• Constraining Search in a Hierarchical, Discriminative Learning System
  Jim Blythe
  European Conference on Artificial Intelligence, 1988
• Generalization and Noise
  Yves Kodratoff, Michel Manago and Jim Blythe
  International Journal of Man-Machine Studies, 1987
• A experimental protocol for gathering examples for empirical learning
  Jim Blythe, David Needham and Patrick Corsi
  First European Workshop on Knowledge Acquisition, 1987