Constraint-based agents

基于约束的代理

• 批准号: 9281-2011
• 负责人: Mackworth, Alan
• 金额: $ 1.75万
• 依托单位: University of British Columbia
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2014
• 资助国家: 加拿大
• 起止时间: 2014-01-01 至 2015-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=544619
• 关键词: Constraint; based; agents

The goal of this research program is to develop the principles and practices of building intelligent systems. We are developing a formal theory for the design and implementation of constraint-based agents, including robots. Our Constraint-Based Agent (CBA) framework is a set of theoretical and practical tools for designing controllers for agents embedded in an active environment. We shall develop the model in several new directions. First, we plan to incorporate learning techniques into CBA. Second, we will allow interaction with a human teacher. Third, we will work on algorithms for multi-robot area exploration. Fourth, we plan to incorporate various technical elaborations to extend the power of the model.

这项研究计划的目标是发展建设智能系统的原则和实践。我们正在开发一种正式的理论，用于设计和实现基于约束的代理，包括机器人。我们的基于约束的代理（CBA）框架是一套理论和实用的工具，用于为嵌入在活动环境中的代理设计控制器。我们将在几个新的方向上发展这个模型。首先，我们计划将学习技巧融入CBA。其次，我们将允许与真人老师互动。第三，我们将研究多机器人区域探索算法。第四，我们计划结合各种技术细节来扩展模型的功能。