Autonomous learning for decision making in complex situations

复杂情况下自主学习决策

• 批准号: FL190100149
• 负责人: Prof Jie Lu
• 金额: $ 234.54万
• 依托单位: University of Technology Sydney
• 依托单位国家: 澳大利亚
• 项目类别: Australian Laureate Fellowships
• 财政年份: 2020
• 资助国家: 澳大利亚
• 起止时间: 2020-01-01 至 2024-12-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/FL190100149
• 关键词: Autonomous; learning; decision; making; complex

The project aims to create a novel research direction – autonomous machine learning for data-driven decision-making – that innovatively and effectively learns from big data to support decision-making in complex (massive, uncertain, dynamic) situations. A set of new theories, methodologies and algorithms will give artificial intelligence the ability to learn autonomously from data to enable machine learning capability to effectively handle tremendous uncertainties in data, learning processes and decision outputs, particularly enabling smart learning in massive domains, massive streams, and massive-agent sequentially changing environments. The project’s outcomes are expected to improve data-driven decision-making in multiple industry sectors.

该项目旨在创建一个新颖的研究方向——用于数据驱动决策的自主机器学习——创新且有效地从大数据中学习，以支持复杂（大规模、不确定、动态）情况下的决策。一系列新的理论、方法论和算法将赋予人工智能从数据中自主学习的能力，使机器学习能力能够有效处理数据、学习过程和决策输出中的巨大不确定性，特别是在海量领域、海量流和海量智能体顺序变化的环境中实现智能学习。该项目的成果预计将改善多个行业领域的数据驱动决策。