MULTI-AGENT MODEL OF INTERACTION OF AUTONOMOUS MARINE PLATFORMS WITH PORT INFRASTRUCTURE

Abstract

The explosive development of autonomous marine systems based on artificial intelligence agents has exacerbated the problem of real-time provision and coordination, decision-making and compliance with regulatory requirements. The aim of the article is to develop a multi-agent model of interaction of autonomous marine platforms with port infrastructure, which ensures the safety and environmental friendliness of operations. The aim of the article is achieved by the widespread use of artificial intelligence, which performs a number of functions to ensure the safe operation of autonomous vessels in complex marine environments. Each of these functions - navigation, obstacle detection, collision avoidance and real-time decision-making - is of crucial importance. Various artificial intelligence methods are used to support these functions, including machine learning, deep learning, reinforcement learning, computer vision and natural language processing. An overview of AI elements used in maritime safety systems is provided, as well as their advantages and disadvantages in terms of autonomous maritime system performance. A high-level model of the architecture of AI agents operating in real-time in autonomous ship systems is proposed. This approach integrates modern technologies (sensory functions, perception, decision-making, control and supervision) to ensure safe, efficient and sustainable maritime operations. The model is based on an AI agent that acts as an autonomous entity capable of processing input data, generating context-sensitive decisions and performing safety-critical actions in time-constrained and port-based environments. AI agents not only provide real-time situational awareness through advanced sensor data fusion, but also optimize routing, fuel consumption and maintenance, in line with industry goals for cost reduction and environmental responsibility. The functions of AI agents at each level of the architecture are described in detail. The integration of autonomous ships with intelligent port systems using AI agents allows for improved dynamic planning, reduced port congestion, and faster turnaround times in maritime logistics. Smart ports, enhanced by IoT technologies, big data analytics, and automation, become the foundation for creating a seamless operational continuum between ship and shore.