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» AI planning: solutions for real world problems
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GIS
2009
ACM
14 years 8 months ago
Map Matching and Uncertainty: an Algorithm and Real-World Experiments
A common problem in moving object databases (MOD) is the reconstruction of a trajectory from a trajectory sample (i.e., a finite sequence of time-space points). A typical solution...
Alejandro A. Vaisman, Bart Kuijpers, Bart Moelans,...
AAAI
2004
13 years 9 months ago
Effective Approaches for Partial Satisfaction (Over-Subscription) Planning
In many real world planning scenarios, agents often do not have enough resources to achieve all of their goals. Consequently, they are forced to find plans that satisfy only a sub...
Menkes van den Briel, Romeo Sanchez Nigenda, Minh ...
ROBOCUP
2005
Springer
98views Robotics» more  ROBOCUP 2005»
14 years 1 months ago
RoboCup X: A Proposal for a New League Where RoboCup Goes Real World
To put more emphasis on real-world problems, the authors propose to extend the RoboCup competitions. In order to foster progress in the desired abilities the authors propose to exp...
Tijn van der Zant, Thomas Wisspeintner
GECCO
2004
Springer
14 years 28 days ago
Real-Coded Bayesian Optimization Algorithm: Bringing the Strength of BOA into the Continuous World
This paper describes a continuous estimation of distribution algorithm (EDA) to solve decomposable, real-valued optimization problems quickly, accurately, and reliably. This is the...
Chang Wook Ahn, Rudrapatna S. Ramakrishna, David E...
AIPS
2006
13 years 9 months ago
Explanation-Based Acquisition of Planning Operators
Classical planning algorithms require that their operators be simple in order for planning to be tractable. However, the complexities of real world domains suggest that, in order ...
Geoffrey Levine, Gerald DeJong