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» Control Knowledge to Improve Plan Quality
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ECML
2006
Springer
13 years 8 months ago
Improving Control-Knowledge Acquisition for Planning by Active Learning
Automatically acquiring control-knowledge for planning, as it is the case for Machine Learning in general, strongly depends on the training examples. In the case of planning, examp...
Raquel Fuentetaja, Daniel Borrajo
AMAI
2006
Springer
13 years 5 months ago
Answer set based design of knowledge systems
The aim of this paper is to demonstrate that A-Prolog is a powerful language for the construction of reasoning systems. In fact, A-Prolog allows to specify the initial situation, t...
Marcello Balduccini, Michael Gelfond, Monica Nogue...
AIPS
2008
13 years 7 months ago
Planning for Modular Printers: Beyond Productivity
This paper reports our experience extending an on-line printer controller based on AI planning to handle two significant features of this commercially important domain: execution ...
Minh Binh Do, Wheeler Ruml, Rong Zhou
FLAIRS
2004
13 years 6 months ago
Using Previous Experience for Learning Planning Control Knowledge
Machine learning (ML) is often used to obtain control knowledge to improve planning efficiency. Usually, ML techniques are used in isolation from experience that could be obtained...
Susana Fernández, Ricardo Aler, Daniel Borr...
IQ
2001
13 years 6 months ago
Improving the Quality of Corporate Household Data: Current Practices and Research Directions
: Corporate household data not only refers to the strict hierarchical structure about and within the corporation, but also the variety of inter-organizational relationships. It is ...
Stuart E. Madnick, Richard Y. Wang, Frank Dravis, ...