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论文精选 82arXiv

Aligning Institutional Power and Operational Ability· 责任与能力对齐的多智能体系统设计

To be socially sustainable, Agentic AI systems require normative designs that align responsibilities with the ability to fulfil them. Identifying incongruences such as unsatisfiable expectations or privilege escalation is crucial in avoiding normative pitfalls. In this study, we discuss design dimensions suitable for describing multi-agent systems in light of this norm-ability alignment requirement. We propose a formal framework centred on process-oriented modelling and institutional power for the analysis of a given normatively relevant process, discuss strategies for repairing it, and elaborate on how the symmetrical relation between operational process and institutional state affects the lifecycle of normative positions.

领域:cs.AI作者:Andrea Marino、Giovanni Sileno、Thomas van Binsbergen
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Timestral· Timestral:时间序列预测模型家族

We introduce Timestral, a family of four time series foundation models for probabilistic f…

领域:cs.AI作者:Adrien Petralia、Alexandre Gavaudan、Artjom Joosen
📎 arXiv🕒 10-28 01:25🔗 arxiv.org

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