Learnability with PAC Semantics for Multi-agent Beliefs
AAMAS '23: Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems(2023)
摘要
This work proposes a new technical foundation for demonstrating Probably Approximately Correct (PAC) learning with multiagent epistemic logics, using implicit learning to incorporate observations into the background knowledge. We explore the sample complexity and the circumstances in which the algorithm can be made efficient.
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关键词
pac semantics,beliefs,multi-agent
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