This paper proposes the Explicit Belief Multi-Agent System (EB-MAS), which externalizes belief states into a structured substrate, uses belief operators to propose candidate updates, and applies a Cognitive Firewall to bound or reject updates that are weakly evidenced but strongly driven by vulnerability cues.
Zhuo-Yun Li, Boxuan Wang, Jinwei Hu et al.· 0 citations
Multi-UAV multi-sensor cooperative detection is critical for situational awareness in complex environments with stationary known targets. To overcome the shortcomings of existing task allocation models in fine-grained cooperation, stealth constraints, and large-scale optimization, this paper proposes a new offline miss...
Bo-Xuan Wang, Kun Zhang, Shuang Zhao et al.· Aerospace· 0 citations
It is found that a simple random-without-replacement routing policy, which lets each agent debate with two distinct and newly sampled peers at every round, provides a surprisingly strong baseline and consistently improves the accuracy-cost trade-off of sparse MAD.
Bo-Xuan Wang, Zhuo-Yun Li, Xiao-Wei Huang et al.· 0 citations
Cross-modal evidence noncommutativity is revealed: the same evidence can lead to different judgments when its order changes, and placing perceptual evidence later can increase the model's reliance on its content.
Zhuo-Yun Li, Bo-Xuan Wang, Xiao-Wei Huang et al.· 0 citations
This paper introduces SCOPE (Sequential Conformal OOD Probing and Evaluation), a framework that selects a readable hidden layer, constructs a conformal gate with IND calibration, and uses a supermartingale e-process to certify persistent service-boundary evidence.
FragileFlow is introduced, a plug-in regularizer that uses a calibrated margin buffer to identify correct-but-fragile predictions and organize their off-class probability mass into a class-wise vulnerable-risk matrix and provides the first PAC-Bayes upper bound for this margin-aware error-flow object.
Zhuo-Yun Li, Bo-Xuan Wang, Jinwei Hu et al.· arXiv.org· 4 citations
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