First-order probabilistic models are recognized as efficient frameworks to represent several realworld problems: they combine the expressive power of first-order logic, which serv...
The original mechanism by which evolutionary algorithms were to solve problems was to allow for the gradual discovery of sub-solutions to sub-problems, and the automated combinati...
This paper proposes programming constructs to improve the practical application of existing BDI-based agent-oriented programming languages that have formal semantics. The proposed...
We show that global constraints on finite domains like alldifferent can be reformulated into answer set programs on which we achieve arc, bound or range consistency. These reform...
In this paper we present Mob, a service-oriented scripting language for programming mobile agents in distributed systems. The main feature of the language is the integration of th...