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» AI planning: solutions for real world problems
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GCC
2003
Springer
14 years 23 days ago
On the Malicious Participants Problem in Computational Grid
Abstract. Computational Grid allows customers to submit tasks to service providers. To maintain the availability, fairness and performance, it is critical to protect Computational ...
Wenguang Chen, Weimin Zheng, Guangwen Yang
IROS
2007
IEEE
158views Robotics» more  IROS 2007»
14 years 1 months ago
Factor-guided motion planning for a robot arm
— Motion planning for robotic arms is important for real, physical world applications. The planning for arms with high-degree-of-freedom (DOF) is hard because its search space is...
Jaesik Choi, Eyal Amir
AIPS
2009
13 years 8 months ago
Inference and Decomposition in Planning Using Causal Consistent Chains
Current state-of-the-art planners solve problems, easy and hard alike, by search, expanding hundreds or thousands of nodes. Yet, given the ability of people to solve easy problems...
Nir Lipovetzky, Hector Geffner
IDA
2009
Springer
13 years 5 months ago
Context-Based Distance Learning for Categorical Data Clustering
Abstract. Clustering data described by categorical attributes is a challenging task in data mining applications. Unlike numerical attributes, it is difficult to define a distance b...
Dino Ienco, Ruggero G. Pensa, Rosa Meo
AAAI
2010
13 years 9 months ago
The Model-Based Approach to Autonomous Behavior: A Personal View
The selection of the action to do next is one of the central problems faced by autonomous agents. In AI, three approaches have been used to address this problem: the programming-b...
Hector Geffner