Few existing argumentation frameworks are designed to deal with probabilistic knowledge, and none are designed to represent possibilistic knowledge, making them unsuitable for man...
Abstract. Just as cooperation in multi-agent systems is a central issue for solving complex tasks, so too is the ability for an intelligent agent to reason about combined knowledge...
In many fields of automated information processing it becomes crucial to consider together imprecise, uncertain or inconsistent information. Argumentation theory is a suitable fr...
We describe a case-based approach to the keyhole plan-recognition task where the observed agent is a state-space planner whose world states can be monitored. Case-based approach pr...
Ontology Learning from text aims at generating domain ontologies from textual resources by applying natural language processing and machine learning techniques. It is inherent in t...