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RSCTC
2004
Springer
134views Fuzzy Logic» more  RSCTC 2004»
13 years 10 months ago
Rough Set Methods in Approximation of Hierarchical Concepts
Abstract. Many learning methods ignore domain knowledge in synthesis of concept approximation. We propose to use hierarchical schemes for learning approximations of complex concept...
Jan G. Bazan, Sinh Hoa Nguyen, Hung Son Nguyen, An...
SEMWEB
2007
Springer
13 years 11 months ago
Formulation of Hierarchical Task Network Service (De)composition
The Hierarchical Task Network (HTN) planning method is conceived of as a useful method for Web service composition as well as classical task planning. However, there are no complet...
Seiji Koide, Hideaki Takeda
CORR
2010
Springer
147views Education» more  CORR 2010»
13 years 5 months ago
Learning Probabilistic Hierarchical Task Networks to Capture User Preferences
While much work on learning in planning focused on learning domain physics (i.e., action models), and search control knowledge, little attention has been paid towards learning use...
Nan Li, William Cushing, Subbarao Kambhampati, Sun...
AAAI
2008
13 years 7 months ago
HTN-MAKER: Learning HTNs with Minimal Additional Knowledge Engineering Required
We describe HTN-MAKER, an algorithm for learning hierarchical planning knowledge in the form of decomposition methods for Hierarchical Task Networks (HTNs). HTNMAKER takes as inpu...
Chad Hogg, Héctor Muñoz-Avila, Ugur ...
ICML
2006
IEEE
14 years 6 months ago
Learning hierarchical task networks by observation
Knowledge-based planning methods offer benefits over classical techniques, but they are time consuming and costly to construct. There has been research on learning plan knowledge ...
Negin Nejati, Pat Langley, Tolga Könik