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系统思维助力构建可扩展的负责任的多智能体架构.pdf

上传人: 竿*** 编号:981754 2025-11-29 65页 3.54MB

1、Systems Thinking forScaling ResponsibleMulti-Agent ArchitecturesNimisha AsthagirinasthagiriGlobal Leader,Scaling AIDopper Member,Technology RadarInfoQ Dev Summit Boston 2025“A system is a big black boxOf which we cant unlock the locks,And all we can find out aboutIs what goes in and what comes out.”

2、-Kenneth Boulding,economist,“General Systems as a Point of View”,1963“If this relations good and stableThen,to predict,we may be able,But if this fails usheaven forbid!Well be compelled to force the lid!”social media addictionsocial media addictionlikesfeeling rewardeddopamine(R)Platformsocial media

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6、s(B)SMART Actvariable(R)Reinforcing Loops(B)Balancing Loopscausal relationship(x causes y)xyxyincrease in x causes increase in yxyincrease in x causes decrease in yvariable“Good engineering cannot be separated from social awareness and deliberate consideration.”John AndersonPresident,National Academ

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全文主要探讨了如何通过系统思维来扩展和构建负责任的智能多代理架构。以下是关键点: 1. **系统思维的重要性**:强调系统思维在工程和人工智能中的应用,如“Good engineering cannot be separated from social awareness and deliberate consideration.”(优秀的工程不能脱离社会意识和深思熟虑。) 2. **智能代理的定义**:引用《人工智能:现代方法》第四版,定义智能代理为具有目标、知识、记忆、传感器、执行器和通信能力的实体。 3. **智能代理的类型**:从反应性工具到自适应助手和智能代理,包括自动化、预测性维护、自适应UI等。 4. **系统思维的应用**:以会议调度代理为例,展示了如何通过系统思维优化会议安排,考虑认知负荷、项目优先级、个人模式等因素。 5. **负责任的人工智能**:强调在设计和实施智能代理时,需要考虑其对社会的影响,如“Responsible AI Factors - based on CLD insights”(基于CLD洞察的责任人工智能因素)。 6. **系统思维的实际方法**:包括机制可解释性、可解释性、可观察性、遥测、交互日志等。 7. **系统思维与复杂性的关系**:使用“冰山隐喻”和“Cynefin框架”来理解系统思维在复杂环境中的应用。
如何规模化?" AI的秘诀?" 责任在谁?"
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