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» Learning to Do HTN Planning
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CORR
2010
Springer
147views Education» more  CORR 2010»
13 years 7 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
1996
13 years 9 months ago
Commitment Strategies in Hierarchical Task Network Planning
This paper compares three commitment strategies for HTN planning: (1) a strategy that delays variable bindings as much as possible; (2) a strategy in which no non-primitive task i...
Reiko Tsuneto, Kutluhan Erol, James A. Hendler, Da...
ICIDS
2010
Springer
13 years 5 months ago
Emohawk: Learning Virtual Characters by Doing
Emohawk is a narrative-based serious game designed to be a supportive tool for teaching basics of virtual agents development at universities and high-schools. Emohawk is built util...
Michal Bída, Cyril Brom
ATAL
2006
Springer
13 years 11 months ago
Hierarchical planning in BDI agent programming languages: a formal approach
This paper provides a general mechanism and a solid theoretical basis for performing planning within Belief-Desire-Intention (BDI) agents. BDI agent systems have emerged as one of...
Sebastian Sardiña, Lavindra de Silva, Lin P...
ATAL
2009
Springer
14 years 2 months ago
First principles planning in BDI systems
BDI (Belief, Desire, Intention) agent systems are very powerful, but they lack the ability to incorporate planning. There has been some previous work to incorporate planning withi...
Lavindra de Silva, Sebastian Sardiña, Lin P...