Distributed Constraint Optimization (DCOP) is a general framework that can model complex problems in multi-agent systems. Several current algorithms that solve general DCOP instan...
Multiagent Partially Observable Markov Decision Processes are a popular model of multiagent systems with uncertainty. Since the computational cost for finding an optimal joint pol...
The World Wide Web contains a huge and increasing volume of information. The web warehouse is an efficient and effective means to facilitate utilization of information on the Web,...
Abstract. In this doctoral work we aim at developing a new approach to labelled semantics and equivalences for the Concurrent Constraint Programming (CCP) which will enable a broad...
When building an application that requires object class recognition, having enough data to learn from is critical for good performance, and can easily determine the success or fai...