NeST-Bayes enables trust inference in multi-robot systems

NeST-Bayes is a neural-symbolic framework that jointly infers trust in robots and their hypotheses using inter-robot observation consistency. It operates without requiring pre-assigned reputation information or side-channel data, making it suitable for partially observable environments.