A Preliminary Investigation of Diverse Learning Styles in a Multi-agent System

该项目研究了异构、分布式软件代理的认知学习风格，以揭示它们如何最好地学习，发现其他代理如何学习并利用各种学习能力。本研究项目的目标是：1)识别多智能体学习的各种风格；2)开发多智能体学习框架；3)进行多智能体学习的实验。该研究项目将促进我们对代理信息和知识共享的理解。

This project investigates the cognitive learning styles of heterogeneous, distributed software agents to uncover how they best learn, discover how other agents learn and take advantage of the various learning capabilities. The objectives of this research project are to 1) identify the various styles of multi-agent learning, 2) develop a multi-agent learning framework, and 3) conduct experiments on multi-agent learning. This research project will advance our understanding of agent information and knowledge sharing.