Cooperative approaches have proved to be very useful in evolutionary computation due to their ability to solve efficiently high-dimensional complex problems through the cooperatio...
We present an efficient approach to adding soft constraints, in the form of preferences, to Disjunctive Temporal Problems (DTPs) and their subclass Temporal Constraint Satisfactio...
We are concerned with the use of Mobile Agents for information retrieval. A multi-agent system is considered; a number of agents are involved in a collective effort to retrieve di...
We present novel randomized algorithms for solving global motion planning problems that exploit the computational capabilities of many-core GPUs. Our approach uses thread and data...
Abstract. Inductive inference can be considered as one of the fundamental paradigms of algorithmic learning theory. We survey results recently obtained and show their impact to pot...