Constraint propagation is the main feature of any constraint solver. This is thus of prime importance to manage constraint propagation as efficiently as possible, justifying the us...
Bayesian networks (BNs) have been widely used as a model for knowledge representation and probabilistic inferences. However, the single probability representation of conditional d...
—In this paper, we will describe the close connection between the now celebrated iterative turbo decoding algorithm of Berrou et al. and an algorithm that has been well known in ...
Robert J. McEliece, David J. C. MacKay, Jung-Fu Ch...
We present PICPA, a new algorithm for tackling constrained continuous multi-objective problems. The algorithm combines constraint propagation techniques and evolutionary concepts. ...
—This paper describes a decentralised car traffic control simulation with re-routing and propagation of messages among traffic nodes (roads intersections and traffic lights). The...