Computational experiments are reported involving the concept of foreknowledge, an agent’s direct, unmediated and accurate, but possibly incomplete, awareness of its future includ...
Learning during backtrack search is a space-intensive process that records information (such as additional constraints) in order to avoid redundant work. In this paper, we analyze...
Distributed Constraint Satisfaction (DCSP) has long been considered an important problem in multi-agent systems research. This is because many real-world problems can be represent...
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...
We address the problem of merging qualitative constraint networks (QCNs) representing agents local preferences or beliefs on the relative position of spatial or temporal entities. ...