Towards an Architecture and Theory for Agent Coordination

智能体协调的架构和理论

• 批准号: 9523419
• 负责人: Victor Lesser
• 金额: $ 41.52万
• 依托单位: University of Massachusetts Amherst
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1995
• 资助国家: 美国
• 起止时间: 1995-09-15 至 1999-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9523419&HistoricalAwards=false
• 关键词: Towards; Architecture; Theory; Agent; Coordination

This research involves the development of a domain independent approach to real-time, distributed coordination of multiple agents. It is based on the GeneralizedPartial Global Planning (GPGP) approach which views coordination as modulating local control, not replacing it. This process occurs via a set of domain-independent coordination mechanisms associated with each agent that posts constraints to the local real-time scheduler about the importance of certain tasks and appropriate times for their initiation and completion. Each coordination mechanism is defined as a response to certain features in the current task environment. In order to construct a generic approach to coordination, it is necessary to have an underlying framework that can represent the wide diversity of tasks, task properties, and task relationships in order to arrive at effective coordination among the activities of different agents in a wide variety of domains. The framework is called TAEMS (Task Analysis, Environment Modeling, and Simulation). It is a framework with which to represent the important aspects of complex computational task environments that is compatible with both formal agent-centered approaches and experimental approaches. The result of this research will lead to the development of a generic coordination module which can help desiginers of multiagent systems to build coordination strategies.

本研究涉及开发一个独立于域的方法来实时，分布式协调多个代理。 它是基于广义局部全局规划（GPGP）的方法，将协调视为调制本地控制，而不是取代it.This过程发生通过一组域独立的协调机制与每个代理，职位的限制，以当地的实时调度有关的重要性，某些任务和适当的时间，他们的启动和完成。 每个协调机制都被定义为对当前任务环境中某些特征的响应。 为了构建一个通用的协调方法，有必要有一个基本的框架，可以代表广泛的多样性的任务，任务属性和任务关系，以达到有效的协调活动之间的不同代理人在各种各样的领域。 该框架称为TAEMS（任务分析、环境建模和仿真）。 它是一个框架，它代表了复杂的计算任务环境的重要方面，是兼容的正式代理中心的方法和实验方法。 本研究的结果将导致一个通用的协调模块，可以帮助多智能体系统的设计者建立协调策略的发展。