While there are many useful models of agents and multi-agent systems, they are typically defined in an informal way and applied in an ad-hoc fashion. Consequently, multi-agent sys...
Vincent Hilaire, Olivier Simonin, Abder Koukam, Ja...
Adaptive software systems are intended to modify their appearance, performance or functionality to the needs and preferences of different users. A key bottleneck in building effec...
Sensor nodes are often used to collect data from locations inaccessible or hazardous for humans. As they are not under normal supervision, these nodes are particularly susceptible...
Transfer learning is the ability of an agent to apply knowledge learned in previous tasks to new problems or domains. We approach this problem by focusing on model formulation, i....
This paper describes a novel method for explaining Bayesian network (BN) inference when the network is modeling a population of conditionally independent agents, each of which is m...