Abstract

This work shows how to improve intelligent behavior in multi-agent systems by using a trust-based information and decision fusion technique. Our technique fuses multi-dimensional sensor data in context-specific ways using Subjective Logic (SL) on the basis of trust values of information sources. In our investigation, we compare our trust-based information fusion technique to non-trust based technique on the basis of using SL with a Stochastic Petri Nets model. Our application focus shows how the proposed trust-based SL information fusion technique performs better for convoy operations than a baseline counterpart.

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