The goal of Reinforcement learning (RL) is to maximize reward (minimize cost) in a Markov decision process (MDP) without knowing the underlying model a priori. RL algorithms tend ...
In this paper we are interested in argument based reasoning for access control, for example in the context of agents negotiating access to resources or web services in virtual orga...
Guido Boella, Joris Hulstijn, Leendert W. N. van d...
In this paper we describe the design and implementation of the derivation replay framework, dersnlp+ebl (Derivational snlp+ebl), which is based within a partial order planner. der...
Temporal projection-predicting future states of a changing world-has been studied mainly as a formal problem. Researchers have been concerned with getting the concepts of causalit...
Penetration Testing is a methodology for assessing network security, by generating and executing possible hacking attacks. Doing so automatically allows for regular and systematic...