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» An Approach to Exploring Description Logic Knowledge Bases
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IJCAI
2007
15 years 1 months ago
Using Linear Programming for Bayesian Exploration in Markov Decision Processes
A key problem in reinforcement learning is finding a good balance between the need to explore the environment and the need to gain rewards by exploiting existing knowledge. Much ...
Pablo Samuel Castro, Doina Precup
CIA
2006
Springer
15 years 3 months ago
Market-Inspired Approach to Collaborative Learning
The paper describes a decentralized peer-to-peer multi-agent learning method based on inductive logic programming and knowledge trading. The method uses first-order logic for model...
Jan Tozicka, Michal Jakob, Michal Pechoucek
ASWC
2006
Springer
15 years 3 months ago
Dental Decision Making on Missing Tooth Represented in an Ontology and Rules
The Web Ontology Language (OWL), which is a Description Logic based ontology language, is widely used to represent formal definitions of vocabularies for domain knowledge, especial...
Seon Gyu Park, Hong-Gee Kim
ML
2006
ACM
131views Machine Learning» more  ML 2006»
14 years 11 months ago
Markov logic networks
We propose a simple approach to combining first-order logic and probabilistic graphical models in a single representation. A Markov logic network (MLN) is a first-order knowledge b...
Matthew Richardson, Pedro Domingos
AI
2010
Springer
15 years 15 hour ago
Updating action domain descriptions
How can an intelligent agent update her knowledge base about an action domain, relative to some conditions (possibly obtained from earlier observations)? We study this question in...
Thomas Eiter, Esra Erdem, Michael Fink, Ján...