Titlebook: Recent Advances in AI Planning; 5th European Confere Susanne Biundo,Maria Fox Conference proceedings 2000 Springer-Verlag Berlin Heidelberg

极为愤怒

Integer Programs and Valid Inequalities for Planning Problems,erlying representation language is basically propositional logic. While this is adequate for many domains, it is not clear if it remains so for problems that involve numerical constraints, or optimization of complex objective functions. Moreover, the propositional representation imposes restrictions

Picks-Disease

Strong Cyclic Planning Revisited,he goal and do not involve iterations (.) and plans that have a possibility (but are not guaranteed) to achieve the goal (.). The results presented in this paper constitute a formal account for “planning via model checking” in non-deterministic domains, which has never been provided before.

Cacophonous

Least Commitment on Variable Binding in Presence of Incomplete Knowledge,sed on the variable itself, in order to retrieve only consistent values. For this purpose, we have extended a Partial Order Planner performing least commitment on variable binding. This extension can cope with incomplete knowledge. We use the Interactive Constraint Satisfaction framework defined in

Medicare

Scaling up Planning by Teasing Out Resource Scheduling,t, based on the actual resource availability, the abstract plan will be allocated resources to produce an executable plan. Our approach not only preserves both the correctness as well as the quality (measured in length) of the plan but also improves efficiency. We describe a prototype implementation

reserve

Gerontology

Greedy Algorithms for the Multi-capacitated Metric Scheduling Problem,iously shown effective on a related but different class of scheduling problem, are found to be less effective on MCM-SP. On the contrary, a randomized . sampling technique is introduced, forming a variant of ESTA that is shown to be quite powerful on highly constrained problems.

esoteric

Adele E. Howe,Eric Dahlman,Christopher Hansen,Michael Scheetz,Anneliese von Mayrhauser

Deference

Alessandro Armando,Claudio Castellini,Enrico Giunchiglia

lactic

完全