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AIM
2004
13 years 7 months ago
An AI Planning-based Tool for Scheduling Satellite Nominal Operations
Satellite domains are becoming a fashionable area of research within the AI community due to the complexity of the problems that these domains need to solve. With the current US a...
María Dolores Rodríguez-Moreno, Dani...
AI
2008
Springer
13 years 8 months ago
Sequential Monte Carlo in reachability heuristics for probabilistic planning
The current best conformant probabilistic planners encode the problem as a bounded length CSP or SAT problem. While these approaches can find optimal solutions for given plan leng...
Daniel Bryce, Subbarao Kambhampati, David E. Smith
IJCAI
1989
13 years 9 months ago
Using and Refining Simplifications: Explanation-Based Learning of Plans in Intractable Domains
This paper describes an explanation-based approach lo learning plans despite a computationally intractable domain theory. In this approach, the system learns an initial plan using...
Steve A. Chien
AAAI
2000
13 years 9 months ago
Structure, Duality, and Randomization: Common Themes in AI and OR
Both the Artificial Intelligence (AI) community and the Operations Research (OR) community are interested in developing techniques for solving hard combinatorial problems. OR has ...
Carla P. Gomes
CCIA
2005
Springer
14 years 1 months ago
A Preliminary Study on the Relaxation of Numeric Features in Planning
Modern AI planners use different strategies to simplify the complexity of current planning problems and turn them more affordable. In this paper, we present a new approach that div...
Antonio Garrido, Eva Onaindia, Donato Herná...