Learning from experimentation allows a system to acquire planning domain knowledge by correcting its knowledge when an action execution fails. Experiments are designed and planned...
Before the powerful agent programming paradigm can be adopted in commercial or industrial settings, a complete environment, similar to that for other programming languages, must b...
John R. Graham, Daniel McHugh, Michael Mersic, Fos...
One central issue in system structuring and quality prediction is the interdependencies of system modules. This paper proposes a novel technique for determining the operational co...
The correctness of an optimisation of the Transport Capabilities Application Part of the Signalling System No. 7 is formalised as a branching bisimulation which is relaxed to allo...
Abstract. We propose an extension of concurrent constraint programming with primitives for process migration within a hierarchical network, and we study its semantics. To this purp...