Towards Robust Open Multi-Agent Systems: Domain-Independent Exception Handling Services

迈向稳健的开放多代理系统：与域无关的异常处理服务

• 批准号: 0103820
• 负责人: Mark Klein
• 金额: $ 37.5万
• 依托单位: Massachusetts Institute of Technology
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2001
• 资助国家: 美国
• 起止时间: 2001-06-01 至 2005-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0103820&HistoricalAwards=false
• 关键词: Towards; Robust; Open; Multi; Agent

This proposal addresses one simple question: how can we develop effective multi-agent systems out of the exception-prone (buggy, malicious, or simply "dumb") agents and infrastructures we can expect to encounter in open system contexts? This problem will be addressed by developing technologies that can determine, at run time, what exceptions can occur, as well as what exception detection and resolution strategies are appropriate, for a dynamically changing agent population and system environment. This workwill build on two key ideas: (1) it is possible to identify highly reusable domain-independent exception handling expertise, and (2) this expertise can be instantiated in the form of distinct exception handling services that outsource exception handling from the agents, requiring only that they adhere to some relatively simple guidelines. The potential impact of this work will include (1) enabling the creation of multi-agent systems that can function effectively in open contexts, while (2) reducing the burden on agent developers by obviating the need to create agents with sophisticated exception handling capabilities.

该提案解决了一个简单的问题：我们如何从开放系统环境中可能遇到的容易出现异常（有缺陷的、恶意的或简单的“愚蠢的”）代理和基础设施中开发出有效的多代理系统？这个问题将通过开发技术来解决，这些技术可以在运行时确定可能发生什么异常，以及对于动态变化的代理群体和系统环境，什么异常检测和解决策略是合适的。这项工作将建立在两个关键思想的基础上：(1) 可以识别高度可重用的、与域无关的异常处理专业知识，(2) 这种专业知识可以以不同的异常处理服务的形式实例化，这些服务从代理外包异常处理，只需要它们遵守一些相对简单的准则。这项工作的潜在影响包括（1）能够创建能够在开放环境中有效运行的多代理系统，同时（2）无需创建具有复杂异常处理功能的代理，从而减轻代理开发人员的负担。