Dynamics of Causal Knowledge

因果知识的动态

• 批准号: DP150104133
• 负责人: Prof Abdul Sattar
• 金额: $ 22.87万
• 依托单位: Griffith University
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2015
• 资助国家: 澳大利亚
• 起止时间: 2015-01-01 至 2019-06-30
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP150104133
• 关键词: Dynamics; Causal; Knowledge

We operate in complex dynamic environments including highly sensitive and safety-critical situations such as medical emergencies, disaster management and air-traffic control systems. Our knowledge of what causes what plays a pivotal role in making correct decisions in such situations. To ensure robustness and sound behaviour of the underlying causal knowledge systems, their designs and implementations must be formally well grounded. This is an important but difficult challenge. This project aims to systematically develop a logic-based framework to adequately capture and reason about evolving causal knowledge. This research is expected to form the basis for smart decision making, and be evaluated on practical applications.

我们在复杂的动态环境中运作，包括高度敏感和安全关键的情况，如医疗紧急情况、灾难管理和空中交通管制系统。在这种情况下，我们对因果关系的了解在做出正确决定方面起着关键作用。为了确保潜在因果知识系统的健壮性和良好的行为，它们的设计和实现必须在形式上有良好的基础。这是一项重要而艰巨的挑战。该项目旨在系统地开发一个基于逻辑的框架，以充分捕获和推理不断发展的因果知识。本研究可望为智慧决策奠定基础，并在实际应用中得到评价。