This paper discusses the extensions that we have made to Betty’s Brain teachable agent system to help students learn about dynamic processes in a river ecosystem. Students first ...
Several multiagent reinforcement learning (MARL) algorithms have been proposed to optimize agents' decisions. Due to the complexity of the problem, the majority of the previo...
Transfer learning proves to be effective for leveraging labeled data in the source domain to build an accurate classifier in the target domain. The basic assumption behind transf...
Mingsheng Long, Jianmin Wang 0001, Guiguang Ding, ...
This paper describes Aerogility - an intelligent decision support system for managing service-based aftermarkets. Aerogility uses multi-agent software technology to implement a dy...
Viet Dung Dang, Steve Osborn, Gary Vickers, Malcol...
Commitment-based interaction protocols are a flexible way of representing the interaction of a set of agents, that are well-known and widely accepted by the research community. Nor...