— We present a statistical approach for software agents to learn ontology concepts from peer agents by asking them whether they can reach consensus on significant differences bet...
The Modular Architecture for Bootstrapped Learning Experiments (MABLE) is a system that is being developed to allow humans to teach computers in the most natural manner possible: ...
Roger Mailler, Daniel Bryce, Jiaying Shen, Ciaran ...
— We study the problem of vision-based flocking and coordination of a group of kinematic agents in 2 and 3 dimensions. It is shown that in the absence of communication among age...
In this paper we present how to use the Agent MOdeling LAnguage (AMOLA) to define agent interaction protocols and how to integrate these in an agent model. AMOLA provides the synt...
By using other agents' experiences and knowledge, a learning agent may learn faster, make fewer mistakes, and create some rules for unseen situations. These benefits would be ...