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...
Programmable Logic Controllers (PLC) are widely used in process automation due to their fast and guarantee response time. However their programming and interfacing capacities are ...
The representation of narratives of actions and observations is a current issue in Knowledge Representation, where traditional plan-oriented treatments of action seem to fall shor...
In this work we investigate how the compiler technique of message strip mining performs in practice on contemporary high performance networks. Message strip mining attempts to redu...
Decision tree induction techniques attempt to find small trees that fit a training set of data. This preference for smaller trees, which provides a learning bias, is often justifie...
Christian Bessiere, Emmanuel Hebrard, Barry O'Sull...