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» On Learning Limiting Programs
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193
Voted
ENC
2004
IEEE
15 years 10 months ago
Distributed Learning in Intentional BDI Multi-Agent Systems
Despite the relevance of the belief-desire-intention (BDI) model of rational agency, little work has been done to deal with its two main limitations: the lack of learning competen...
Alejandro Guerra-Hernández, Amal El Fallah-...
ICML
1994
IEEE
15 years 9 months ago
Learning Without State-Estimation in Partially Observable Markovian Decision Processes
Reinforcement learning (RL) algorithms provide a sound theoretical basis for building learning control architectures for embedded agents. Unfortunately all of the theory and much ...
Satinder P. Singh, Tommi Jaakkola, Michael I. Jord...
CIKM
2008
Springer
15 years 8 months ago
Metric-based ontology learning
Ontology learning is an important task in Artificial Intelligence, Semantic Web and Text Mining. This paper presents a novel framework for, and solutions to, three practical probl...
Hui Yang, Jamie Callan
FMOODS
2008
15 years 7 months ago
VeriCool: An Automatic Verifier for a Concurrent Object-Oriented Language
Reasoning about object-oriented programs is hard, due to , dynamic binding and the need for data abstraction and framing. Reasoning about concurrent object-oriented programs is eve...
Jan Smans, Bart Jacobs 0002, Frank Piessens
157
Voted
ITICSE
2010
ACM
15 years 6 months ago
Hands-on approach to teaching wireless sensor networks at the undergraduate level
Teaching wireless sensor networks (WSNs) at the undergraduate level is both challenging and rewarding. WSNs include low-level programming and debugging, power-aware operations, no...
Anna Förster, Mehdi Jazayeri