In this paper, a discrimination and robusmess oriented adaptive learning procedure is proposed to deal with the task of syntactic ambiguity resolution. Owing to the problem of ins...
Dynamic scripting is a reinforcement learning algorithm designed specifically to learn appropriate tactics for an agent in a modern computer game, such as Neverwinter Nights. This...
This paper proposes a combined mechanism for coordinating agents in timed normative multi-agent systems. Timing constraints in a multi-agent system make it possible to force actio...
Lacramioara Astefanoaei, Frank S. de Boer, Mehdi D...
Abstract. This paper presents J-MADeM, a new market-based multi-agent approach devoted to perform social simulations with BDI agents. J-MADeM is available as an open-source library...
Francisco Grimaldo, Miguel Lozano, Fernando Barber
Succinct test script with high efficiency is one of key point for automation of embedded software testing. In this paper, we integrated object technique with automated simulation ...