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14. PuK 2000: Berlin
- Proceedings of the 14th Workshop "New Results in Planning, Scheduling and Design" (PuK2000), Berlin, 21-22 August 2000. 2000
- Luis A. Castillo, Juan Fernández-Olivares, Antonio González Muñoz:
A hybrid hierarchical operator-based planning approach for the design of control programs. - Carmel Domshlak, Ronen I. Brafman:
Strucutre and Complexity in Planning with Unary Operators. - Stefan Edelkamp:
Heuristic Search Planning with BDDs. - Patrick Fabiani, Yannick Meiller:
Planning with tokens: an approach between satisfaction and optimisation. - Antonio Garrido Tejero, Miguel A. Salido, Federico Barber:
Scheduling in a Planning Environment. - Antonio Garrido Tejero, Miguel A. Salido, Federico Barber, Montserrat Abril López:
Heuristic Methods for Solving Job-Shop Scheduling Problems. - Emmanuel Guere, Rachid Alami:
An Accessibility graph learning approach for task planning in large domains. - Jörg Hoffmann:
A Heuristic for Domain Independent Planning and its Use in an Enforced Hill-climbing Algorithm. - Bernhard Jung, Mathias Nousch:
Design and Configuration of Furniture Using Internet-based Virtual Reality Techniques. - Jana Koehler, Jörg Hoffmann:
On the Instantiation of ADL Operators Involving Arbitrary First-Order Formulas. - Ingo Kreuz:
Considering the Dynamic in Knowledge Based Configuration. - Christian Kühn:
Modeling Strucutre and Behaviour for Knowledge Based Software Configuration. - Harald Meyer auf'm Hofe:
Benefits and Problems of using cycle-cutset within interative improvement algorithms. - Jun Miura, Yoshiaki Shirai:
Knowledge-Based Control of Decision Theoretic Planning - Adaptive Planning Model Selection. - Eva Onaindia, Laura Sebastia, Eliseo Marzal:
4SP: A four stage incremental planning approach. - Jürgen Sauer, Tammo Freese, Thorsten Teschke:
Towards agent-based multi-site scheduling. - Ron M. Simpson, Thomas Leo McCluskey, Donghong Liu:
OCL-Graph: Exploiting Object Structure in a Plan Graph Algorithm. - Shlomo Zilberstein, Abdel-Illah Mouaddib, Andrew Arnt:
Dynamic Scheduling of Progressive Processing Plans.
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