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AIPS
1994
14 years 1 months ago
Decomposition and Causality in Partial-order Planning
We describe DPOCL, a partial-order causal linkplanner thatincludes actiondecomposition. DPOCL builds directly on the SNLP algorithm 10 , and hence is clear and simple, and can rea...
R. Michael Young, Martha E. Pollack, Johanna D. Mo...
AIPS
1994
14 years 1 months ago
A Framework for Automatic Problem Decomposition in Planning
An intelligent problem solver must be able to decompose a complex problem into simpler parts. A decomposition algorithm would not only be bene cial for traditional subgoal-oriente...
Qiang Yang, Shuo Bai, Guiyou Qiu
AIPS
1994
14 years 1 months ago
The Need for Different Domain-independent Heuristics
Peter Stone, Manuela M. Veloso, Jim Blythe
AIPS
1994
14 years 1 months ago
The Use of Supervenience in Dynamic-world Planning
Thispaperdescribesthe use of superveniencein integrating planningand reaction in complex,dynamicenvironments. ienceis a formof abstractionwithaffinities both action in AIplannings...
Lee Spector, James A. Hendler
AIPS
1994
14 years 1 months ago
Becoming Increasingly Reliable
Autonomousmobile robots need to detect potential failures reliably and react appropriately. Dueto uncertainties about the robots and their environment,it is extremelydifficult to ...
Reid G. Simmons
AIPS
1994
14 years 1 months ago
Synthesizing Protection Monitors from Causal Structure
Protection monitors synthesized from plan causal structure provide execution systems with information necessary to detect potential failures early during execution. By detecting e...
Glen A. Reece, Austin Tate
AIPS
1994
14 years 1 months ago
Control Knowledge to Improve Plan Quality
Generating production-quality plans is an essential element in transforming planners from research tools into real-world applications. However most of the work to date on learning...
M. Alicia Pérez, Jaime G. Carbonell