👉 The Trust Fluid is a model-based approach to understanding and quantifying trust in dynamic, multi-agent systems, particularly those involving human interactions. Unlike static trust models, Trust Fluid captures the evolving nature of trust by representing it as a fluid, continuous variable that can fluctuate based on various factors such as past interactions, current context, and the reliability of agents. This allows for a more nuanced and realistic depiction of trust, enabling systems to adapt their trust assessments in real-time. Trust Fluid uses a combination of probabilistic reasoning and machine learning to predict how trust levels might change over time, making it highly effective in environments where trust needs to be continuously updated and managed.
