ECAI '92 Proceedings of the 10th European conference on Artificial intelligence
Acquiring search-control knowledge via static analysis
Artificial Intelligence
Learning by analogical reasoning in general problem-solving
Learning by analogical reasoning in general problem-solving
Automatically generating abstractions for planning
Artificial Intelligence
Using temporal logic to control search in a forward chaining planner
New directions in AI planning
Inferring state constraints for domain-independent planning
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
Extending Planning Graphs to an ADL Subset
ECP '97 Proceedings of the 4th European Conference on Planning: Recent Advances in AI Planning
Automatic SAT-compilation of planning problems
IJCAI'97 Proceedings of the Fifteenth international joint conference on Artifical intelligence - Volume 2
Challenges in bridging plan synthesis paradigms
IJCAI'97 Proceedings of the 15th international joint conference on Artifical intelligence - Volume 1
Unifying SAT-based and graph-based planning
IJCAI'99 Proceedings of the 16th international joint conference on Artifical intelligence - Volume 1
Fast planning through planning graph analysis
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
Pushing the envelope: planning, propositional logic, and stochastic search
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 2
Encoding domain knowledge for prositional planning
Logic-based artificial intelligence
Answer set programming and plan generation
Artificial Intelligence
Compute-intensive methods in artificial intelligence
Annals of Mathematics and Artificial Intelligence
An A-Prolog Decision Support System for the Space Shuttle
PADL '01 Proceedings of the Third International Symposium on Practical Aspects of Declarative Languages
Representing Knowledge in A-Prolog
Computational Logic: Logic Programming and Beyond, Essays in Honour of Robert A. Kowalski, Part II
Declarative Formalization of Strategies for Action Selection: Applications to Planning
JELIA '00 Proceedings of the European Workshop on Logics in Artificial Intelligence
LPNMR '01 Proceedings of the 6th International Conference on Logic Programming and Nonmonotonic Reasoning
Declarative Formalization of Reasoning Strategies: A Case Study on Heuristic Nonlinear Planning
Annals of Mathematics and Artificial Intelligence
Applying integer programming to AI planning
The Knowledge Engineering Review
Domain-dependent knowledge in answer set planning
ACM Transactions on Computational Logic (TOCL)
AltAltp: online parallelization of plans with heuristic state search
Journal of Artificial Intelligence Research
Unifying SAT-based and graph-based planning
IJCAI'99 Proceedings of the 16th international joint conference on Artifical intelligence - Volume 1
On the utility of landmarks in SAT based planning
Knowledge-Based Systems
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Recent new planning paradigms, such as Graphplan and Satplan, have been shown to outperform more traditional domain-independent planners. An interesting aspect of these planners is that they do not incorporate domain specific control knowledge, but instead rely on efficient graph-based or propositional representations and advanced search techniques. An alternative approach has been proposed in the TLPlan system. TLPlan is an example of a powerful planner incorporating declarative control specified in temporal logic formulas. We show how these control rules can be parsed into Satplan. Our empirical results show up to an order of magnitude speed up. We also provide a detailed comparison with TLPlan, and show how the search strategies in TLPlan lead to efficient plans in terms of the number of actions but with little or no parallelism. The Satplan and Graphplan formalisms on the other hand do find highly parallel plans, but are less effective in sequential domains. Our results enhance our understanding of the various tradeoffs in planning technology, and extend earlier work on control knowledge in the Satplan framework by Ernst et al. (1997) and Kautz and Selman (1998).