Abstract

The integration of Artificial Intelligence (AI) and Blockchain offers a transformative approach to the development of Intelligent Autonomous Systems (IAS). Autonomous systems, which include self-driving cars, drones, and robots, require advanced decision-making, real-time data processing, and secure communication. AI provides the intelligence necessary for these systems to operate autonomously, while Blockchain introduces decentralized control, transparency, and enhanced security. This paper explores the potential of combining AI and Blockchain technologies to create more secure, transparent, and efficient autonomous systems. Specifically, the research focuses on the application of AI in decision-making and environment perception, while utilizing Blockchain to secure data integrity, enable decentralized governance, and enhance trust among autonomous agents. We propose an integrated system where AI-driven autonomous agents interact with a decentralized blockchain network to log decisions, share data, and operate transparently. The proposed solution is evaluated through simulations, highlighting the benefits and challenges of such integration. The results show that blockchain can improve transparency and security in autonomous systems, while AI enhances decision-making in real-time. However, challenges related to scalability, transaction latency, and privacy concerns need further investigation. This research lays the foundation for the development of next-generation decentralized autonomous systems, with implications for various industries, including transportation, logistics, and robotics.