Recent Advances in AI Planning

1. Front Matter

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2. Context dependent effects in temporal planning

   • Patrick Albers, Malik Ghallab

   Pages 1-12

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3. Information gathering plans with sensing actions

   • Naveen Ashish, Craig A. Knoblock, Alon Levy

   Pages 13-25

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4. What does a planner need to know about execution?

   • Ruth Aylett, Alex Coddington, David Barnes, Rob Ghanea-Hercock

   Pages 26-38

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5. Planning and chemical plant operating procedure synthesis: A case study

   • Ruth Aylett, Gary Petley, Paul Chung, James Soutter, Andrew Rushton

   Pages 39-51

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6. Task planning and partial order planning: A domain transformation approach

   • M. Baioletti, S. Marcugini, A. Milani

   Pages 52-63

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7. Expressing transformations of structured reactive plans

   • Michael Beetz, Drew McDermott

   Pages 64-76

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8. Fast probabilistic plan debugging

   • Michael Beetz, Drew McDermott

   Pages 77-90

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9. Quantification in generative refinement planning

   • Andrew Burgess, Sam Essex

   Pages 91-103

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10. Modal tableaux for reasoning about actions and plans

    • Marcos A. Castilho, Olivier Gasquet, Andreas Herzig

    Pages 104-116

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11. A time and resource problem for planning architectures

    • Amedeo Cesta, Cristiano Stella

    Pages 117-129

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12. Planning via model checking: A decision procedure for AR

    • Alessandro Cimatti, Enrico Giunchiglia, Fausto Giunchiglia, Paolo Traverso

    Pages 130-142

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13. Possibilistic planning: Representation and complexity

    • Célia Da Costa Pereira, Frédérick Garcia, Jérôme Lange, Roger Martin-Clouaire

    Pages 143-155

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14. Planning with sensing for a mobile robot

    • Giuseppe De Giacomo, Luca Iocchi, Daniele Nardi, Riccardo Rosati

    Pages 156-168

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15. Encoding planning problems in nonmonotonic logic programs

    • Yannis Dimopoulos, Bernhard Nebel, Jana Koehler

    Pages 169-181

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16. An argument for a hybrid HTN/operator-based approach to planning

    • Tara A. Estlin, Steve A. Chien, Xuemei Wang

    Pages 182-194

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17. Natural hierarchical planning using operator decomposition

    • Maria Fox

    Pages 195-207

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18. Planning, learning, and executing in autonomous systems

    • Ramón García-Martínez, Daniel Borrajo

    Pages 208-220

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19. Combining the expressivity of UCPOP with the efficiency of Graphplan

    • B. Cenk Gazen, Craig A. Knoblock

    Pages 221-233

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20. Bounded parameter Markov decision processes

    • Robert Givan, Sonia Leach, Thomas Dean

    Pages 234-246

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This book constitutes the refereed proceedings of the 4th European Conference on Planning, ECP'97, held in Toulouse, France, in September 1997. The 35 revised full papers presented were carefully reviewed and selected from 90 submissions. The range of topics covered spans all aspects of current artificial intelligence planning, from theoretical and foundational matters to actual planning of systems and applications in a variety of areas.

• Text
• artificial intelligence
• autonomous system
• decision making
• genetic programming
• hierarchical planning
• learning
• logic programming
• planning
• planning architectures
• problem solving
• programming
• robot
• search strategy

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