We present a hybrid approach to Distributed Constraint Satisfaction which combines incomplete, fast, penalty-based local search with complete, slower systematic search. Thus, we pr...
More and more RDF data have been published online to be consumed. Ordinary Web users also expect to experience more intelligent services promised by the Semantic Web, such as objec...
We construct a novel agent-based model of prediction markets in which putative human qualities like learning, reasoning, and profit-seeking are absent. We show that the prices whi...
Many applications require the ability to identify data that is anomalous with respect to a target group of observations, in the sense of belonging to a new, previously unseen `atta...
Abstract. "Web 2.0" is a term frequently mentioned in media - apparently, applications such as Wikipedia, Social Network Services, Online Shops with integrated recommende...