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» Efficiently Executing Information-Gathering Plans
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AAAI
2004
14 years 11 months ago
Generating Safe Assumption-Based Plans for Partially Observable, Nondeterministic Domains
Reactive planning using assumptions is a well-known approach to tackle complex planning problems for nondeterministic, partially observable domains. However, assumptions may be wr...
Alexandre Albore, Piergiorgio Bertoli
AIPS
2006
14 years 11 months ago
Concurrent Probabilistic Planning in the Graphplan Framework
We consider the problem of planning optimally in potentially concurrent probabilistic domains: actions have probabilistic effects and may execute in parallel under certain conditi...
Iain Little, Sylvie Thiébaux
AIPS
2008
14 years 12 months ago
Fast Dynamic Scheduling of Disjunctive Temporal Constraint Networks through Incremental Compilation
Autonomous systems operating in real-world environments must plan, schedule, and execute missions while robustly adapting to uncertainty and disturbance. One way to mitigate the e...
Julie A. Shah, Brian C. Williams
IJCAI
2001
14 years 11 months ago
Total-Order Planning with Partially Ordered Subtasks
One of the more controversial recent planning algorithms is the SHOP algorithm, an HTN planning algorithm that plans for tasks in the same order that they are to be executed. SHOP...
Dana S. Nau, Héctor Muñoz-Avila, Yue...
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309views
16 years 9 months ago
SOLE: Scalable On-Line Execution of Continuous Queries on Spatio-temporal Data Streams
This paper presents the Scalable On-Line Execution algorithm (SOLE, for short) for continuous and on-line evaluation of concurrent continuous spatio- temporal queries over data str...
Mohamed F. Mokbel, Walid G. Aref