The comprehensive and safe application of unmanned surface vessels is certainly one of the biggest challenges currently facing maritime science. Such vessels can be implemented within a wide range of autonomy levels that goes from remote-controlled vessels to fully autonomous vessels in which intelligent vessel systems completely perform all necessary operations. One of the ways to achieve autonomous vessel systems is to implement multi-agent systems that take over all functions performed by the crew in classical manned crew vessels. A vessel is a complex system that conceptually can be considered as a set of interconnected subsystems. Theoretically, the functions of these subsystems could be performed using appropriate multi-agent systems. In this paper we analyzed 24 relevant papers. A review of the current state of implementation of multi-agent systems for performing the functions of unmanned surface vessels is presented.

Maritime safety is an ongoing process in shipping that is constantly being improved by the modernization of equipment and constant improvements in operators’ safety procedures and training. However, human error remains a significant factor in maritime accidents, as it contributes to 75% of incidents. Addressing this problem, the current paper shows a proof of principal for on-board fire monitoring and extinguishing software agents that may be used to upgrade present systems and contribute to an autonomous ship design. Agent technology that engages fire detection and firefighting equipment while minimizing human intervention will reduce the risks of human error and increase maritime safety.

The maritime domain is experiencing significant transformation, driven by the integration of autonomous technologies. Autonomous ships and smart maritime systems depend on the sophisticated interplay of artificial intelligence, sensor infrastructures, and communication protocols to achieve safe, reliable, and efficient operations. Central to this evolution is the imperative for seamless interoperability among agents operating within heterogeneous maritime environments. Semantic interoperability, which ensures that information is interpreted and exchanged consistently and meaningfully across systems, emerges as a critical enabler of coordinated multi-agent cooperation. This paper explores the role of semantic interoperability in the coordination of multi-agent systems, the challenges involved, and the technological frameworks that facilitate its implementation.

This paper presents a model of agent-based architecture for fighting fires on ships. The introduction of agent technology in firefighting decision-making is a step towards safe autonomous vessels. The human factor can be excluded through the introduction of agent-based technology for the detection and extinguishing of fires onboard ships. The aim is to reduce the number of injuries and deaths, and minimize loss of ships and cargo. Another advantage of agent-based technology is its easy interoperability with other automated onboard systems. The presented model was implemented on a prototype in a simulation environment. The results of the experiment conducted on the implemented prototype are also presented.

Virtual reality (VR) technology is becoming increasingly relevant as a modern educational tool. However, its application in teaching and learning computational thinking remains relatively underexplored. This paper presents the implementation of selected tasks from the international Bebras Challenge in a VR environment called ThinkLand. A comparative study was conducted to evaluate the usability of the developed game across two interface types: mobile devices and desktop computers. A total of 100 participants, including high school and university students, took part in the study. The overall usability rating was classified as “good”, suggesting that ThinkLand holds promise as a platform for supporting computational thinking education. To assess specific aspects of interface usability, a custom Virtual Environment Usability Questionnaire (VEUQ) was developed. Regression analysis was performed to examine the relationship between participants’ age, gender, and interface type with both learning performance and perceived usability, as measured by the VEUQ. The analysis revealed statistically significant differences in interaction patterns between device types, providing practical insights for improving interface design. Validated in this study, the VEUQ proved to be an effective instrument for informing interaction design and guiding the development of educational VR applications for both mobile and desktop platforms.