Description: Judgment-Based Consensus is a consensus model that relies on the evaluation and experience of selected individuals to make collective decisions. This approach is based on the premise that the knowledge and experience of experts can guide a group toward a more informed and accurate conclusion. Unlike other consensus algorithms that depend on mathematical calculations or data validation through automated mechanisms, judgment-based consensus focuses on human deliberation and social interaction. This model is particularly useful in contexts where information is complex or where data is scarce, allowing participants to contribute their specific perspectives and knowledge. The main characteristics of this approach include the careful selection of participants, the facilitation of structured dialogue, and the pursuit of an agreement that reflects the collective judgment. Its relevance lies in its ability to integrate diverse opinions and experiences, which can result in more balanced and well-founded decisions compared to more mechanical or automated approaches.
