In multiagent environments, forms of social learning such as teaching and imitation have been shown to aid the transfer of knowledge from experts to learners in reinforcement lear...
Distributed partially observable Markov decision problems (POMDPs) have emerged as a popular decision-theoretic approach for planning for multiagent teams, where it is imperative f...
In recent years, science education has been the focus of study and development of new gamebased learning environments. It has been argued that active and critical learning about r...
Abstract: This paper presents a multiagent architecture and algorithms for collaborative, self-organizing learning in distributed, heterogeneous and dynamic business systems, where...
—“Autonomic systems” merge advancements in the field of multi-agent software design, dynamic analysis, and decentralized control in order to assist designers in constructing...