Application of Computational Law and Artificial Intelligence in Electronic Automated Waste Management Systems Based on Blockchain

Waste management faces challenges like inefficiency, limited real-time control, and poor regulatory compliance. This paper proposes an intelligent architecture for automated waste management utilizing emerging technologies like blockchain, internet-of-things (IoT), artificial intelligence (AI), and computational law. A blockchain backbone enables secure real-time data sharing. Smart waste bins and trucks are IoT-enabled with sensors for data collection. AI and machine learning algorithms enable optimization, prediction, and automation. A dynamic ontology automates compliance as regulations change. The benefits include transparency, efficiency, sustainability, and innovation opportunities. Challenges remain around adoption. Further research is needed on algorithms, system optimization, and overcoming adoption barriers.