Abstract. We study the problem of predictive data mining in the competitive multi-agent setting, in which each agent is assumed to have some partial knowledge needed for correctly ...
We study the problem of schema evolution in the RDF data model. RDF and the RDFS schema language are W3C standards for flexibly modeling and sharing data on the web. Although sch...
Abstract. We introduce a special family of (assumption-based argumentation) frameworks for reasoning about the benets of decisions. These frameworks can be used for representing t...
The ability to proactively offer assistance promises to make personal agents more helpful to their users. We characterize the properties desired of proactive behaviour by a person...
Neil Yorke-Smith, Shahin Saadati, Karen L. Myers, ...
The ability to guarantee that a system will continue to operate correctly under degraded conditions is key to the success of adopting multi-agent systems (MAS) as a paradigm for d...