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

多智能体系统中多种学习方式的初步研究

• 批准号: 0002364
• 负责人: Andrew Williams
• 金额: $ 1.79万
• 依托单位: University of Iowa
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2000
• 资助国家: 美国
• 起止时间: 2000-09-01 至 2001-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0002364&HistoricalAwards=false
• 关键词: Preliminary; Investigation; Diverse; Learning; Styles

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.

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。本研究的目的是：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）进行多智能体学习实验。这个研究项目将促进我们对代理信息和知识共享的理解。