DSS for blockchain technology using explainable multiagent system

Artificial intelligence (AI) advancements are benefiting a wide range of disciplines. Multiagent systems (MASs) are rapidly used in vital sectors such as medicine, driverless cars, prison reform, and stock institutions. As a result of this development, there is a rising interconnectedness between AI and human civilization. As a result, various concerns have been expressed about the user acceptability of AI agents. One of the essential concerns is trust issues, mainly related to their absence of understandability. In past decades, the emphasis has been on achieving the best productivity possible at the price of generalization ability. It resulted in extraordinary video processing, computational linguistics, and decision-making systems breakthroughs. However, the critical problems raised by society's unwillingness to embrace AI-based judgments could result in whole new movements and innovations that promote predictability, legitimacy, and user-centricity. This study suggests a collaborative method incorporating “blockchain technology” (BCT) and explains its ability in the MAS decision-making procedure. By doing so, present opaque decision-making procedures may be improved, better visible and secured, and hence more dependable from the perspective of the specific user. Several case studies employing unmanned aerial vehicles (UAVs) are also presented. Finally, the study analyses trust-based networks' functions, balancing, and exchange of understandability and BCT.