In reinforcement learning problems, an agent has the task of learning a good or optimal strategy from interaction with his environment. At the start of the learning task, the agent...
Tom Croonenborghs, Kurt Driessens, Maurice Bruynoo...
The ever increasing size of networks has resulted in a corresponding escalation of administration costs and lengthy deployment cycles. Clearly, more scalable and flexible network...
DIET (Distributed Interactive Engineering Toolbox) is a set of hierarchical components to design Network Enabled Server (NES) systems. In these systems, clients ask to agents (dis...
Qualitative Reasoning (QR) formalisms provide ontological primitives for capturing conceptual knowledge. Recently QR-based diagrammatic tools are being developed to support learne...
Agent communication languages defined using joint intention theory have enjoyed a long research history. A number of performatives have been defined and refined in this literature ...