Abstract:are to be discussed, including communication between the vehicles, coordination of actions, performing negotiations, and many others.The computer sciences make more and more frequent use of multi-agent systems, especially to solve problems of distributed nature, or those requiring complicated calculations. The multiagent system comprises a number of agents which communicate and cooperate with each other to perform a common task. The mechanism of the multi-agent system can be easily adopted to control the team … Show more
“…Assumed agent architecture and control flow is shown in Figure 3 [25,32]. The algorithms related to detecting obstacles are included in the layer of reflex action.…”
Section: Multi-agent System For Usv Maneuver Auto-negotiationmentioning
The paper introduces a proposal of an Autonomous Navigation System for Unmanned Surface Vessels. The system architecture is presented with a special emphasis on collision avoidance and maneuver auto-negotiation. For the purpose of maneuver auto-negotiation, the concept of multi-agent systems has been applied. The algorithm developed for the task of collision avoidance is briefly described and the results of the simulation tests, confirming the effectiveness of applied method, are also given. Presented outcomes include solutions of test scenarios from the perspectives of different ships taking part in the considered situations, confirming the applicability of the collision avoidance algorithm in the process of maneuver auto-negotiation.
“…Assumed agent architecture and control flow is shown in Figure 3 [25,32]. The algorithms related to detecting obstacles are included in the layer of reflex action.…”
Section: Multi-agent System For Usv Maneuver Auto-negotiationmentioning
The paper introduces a proposal of an Autonomous Navigation System for Unmanned Surface Vessels. The system architecture is presented with a special emphasis on collision avoidance and maneuver auto-negotiation. For the purpose of maneuver auto-negotiation, the concept of multi-agent systems has been applied. The algorithm developed for the task of collision avoidance is briefly described and the results of the simulation tests, confirming the effectiveness of applied method, are also given. Presented outcomes include solutions of test scenarios from the perspectives of different ships taking part in the considered situations, confirming the applicability of the collision avoidance algorithm in the process of maneuver auto-negotiation.
“…Let S={s 1 ,s 2 ,…} mean possible environmental conditions and A={a 1 , a 2 ,…} possible agent actions. While making a formal description of the agent's operation, it can be noted that the action can be treated as a function (Gnatowski, 2005;Weiss, 1999;Zak, 2013a):…”
Section: Unmanned Underwater Vehicle As An Agentmentioning
confidence: 99%
“…According to the adopted structure, the algorithms related to detecting obstacles are implemented in the layer of reflex action as well as algorithms related to maintaining the course and speed of movement (Garus & Zak, 2010;Zak, 2016). The planning layer implements algorithms related to driving the vehicle along a set trajectory, including determining the trajectory of obstacle avoiding (Lisowski, 2016;Zak 2013a). At the level of cooperation, the vehicle exchanges data with other team members and also conducts negotiations in the event of damage to any of the vehicles and the need to undertake a substitute task (Lisowski, 2013).…”
Section: Algorithm Of Agent Behaviormentioning
confidence: 99%
“…Since communication between vehicles is most often carried out in water using hydro-modems, in the situation of a common transmission media token ring mechanism can be used. In the case of winning negotiation by a given agent, its trajectory is automatically extended by a part that was taken over as a substitute task (Zak, 2013a). Figures 2 and 3 present the algorithm of operation of a single agent in the scope of cooperative activities, which should ensure the performance of the task in cooperation with other agents, i.e.…”
The article presents the control system of a single underwater vehicle which is a member of the underwater vehicles team. The application of the multi-agent system concept for modelling and controlling a team of homogeneous underwater vehicles is discussed. Issues relating to cooperation actions in the team of underwater vehicles are described and solved using the theory of games and vector quality index. The process of negotiations between the vehicles is modelled as a multiplayer cooperative game. Finally, the water region search tasks performed by a team of cooperating underwater vehicles are presented and discussed taking into account possible vehicle failures happening during task realization.
“…In many issues of transport and logistics there are many possible and acceptable solutions to the problem, of which only one is the optimal solution under the assumed criterion of the quality of the transport or logistics process [14,15,16].…”
Section: Fig 1 Stages Of Formulating and Solving The Optimization Taskmentioning
The purpose of the article is to present the goal of optimization of transport and logistics processes, followed by literature review in the field of optimization methods. The optimization methods were categorized and the most commonly used methods were listed. The tasks of static and dynamic optimization were formulated. An example of the single-criterion static and dynamic optimization and multi-criteria game optimization are given.
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