Sign up to save your podcasts
Or
Share 【第49期】Responsibility in Multi-Agent Systems
Share to email
Share to Facebook
Share to X
Share to email
Share to Facebook
Share to X
Or
【第49期】Responsibility in Multi-Agent Systems
Seventy3: 用NotebookLM将论文生成播客，让大家跟着AI一起进步。
今天的主题是：Measuring Responsibility in Multi-Agent SystemsSummary
This research paper introduces a novel framework for quantitatively measuring responsibility in multi-agent systems. The authors extend the concept of causal responsibility, as defined by Parker et al., to include three metrics: proportion, probability, and entropy. These metrics provide a more nuanced understanding of an agent's involvement in achieving or preventing specific outcomes within a joint plan. The authors develop a formal model and a logic, called γATL, to represent and analyze these quantitative responsibility measures, enabling a comprehensive assessment of agents' roles in multi-agent planning scenarios.
原文链接：https://arxiv.org/abs/2411.00887
View all episodes
By 任雨山Seventy3: 用NotebookLM将论文生成播客，让大家跟着AI一起进步。
今天的主题是：Measuring Responsibility in Multi-Agent SystemsSummary
This research paper introduces a novel framework for quantitatively measuring responsibility in multi-agent systems. The authors extend the concept of causal responsibility, as defined by Parker et al., to include three metrics: proportion, probability, and entropy. These metrics provide a more nuanced understanding of an agent's involvement in achieving or preventing specific outcomes within a joint plan. The authors develop a formal model and a logic, called γATL, to represent and analyze these quantitative responsibility measures, enabling a comprehensive assessment of agents' roles in multi-agent planning scenarios.
原文链接：https://arxiv.org/abs/2411.00887