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SEMWEB
2009
Springer
15 years 11 months ago
An Algorithm for Learning with Probabilistic Description Logics
Probabilistic Description Logics are the basis of ontologies in the Semantic Web. Knowledge representation and reasoning for these logics have been extensively explored in the last...
José Eduardo Ochoa Luna, Fabio Gagliardi Co...
IAT
2008
IEEE
15 years 11 months ago
Formalizing Multi-state Learning Dynamics
This paper extends the link between evolutionary game theory and multi-agent reinforcement learning to multistate games. In previous work, we introduced piecewise replicator dynam...
Daniel Hennes, Karl Tuyls, Matthias Rauterberg
SASO
2008
IEEE
15 years 11 months ago
Leveraging Organizational Guidance Policies with Learning to Self-Tune Multiagent Systems
As organization-based multiagent systems are applied to more complex problems, configuring and tuning the systems can become nearly as complex as the original problem a system wa...
Scott J. Harmon, Scott A. DeLoach, Robby, Doina Ca...
DIGITEL
2007
IEEE
15 years 11 months ago
MuDiS - A Virtual Learning Environment
This paper presents a multi-component; distributed system (MuDiS) based solution for building a virtual learning environment which combines a wide range of technology, tools and d...
Jeetinder Singh, Jayanthi Sivaswamy, Krishnarajulu...
AIED
2007
Springer
15 years 11 months ago
Learning Tutorial Rules Using Classification Based On Associations
Rules have been showed to be appropriate representations to model tutoring and can be easily applied to intelligent tutoring systems. We applied a machine learning technique, Class...
Xin Lu, Barbara Di Eugenio, Stellan Ohlsson