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Multiagent Decision Making For Maritime Traffic Management
2019
PROCEEDINGS OF THE THIRTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE AND THE TWENTY-EIGHTH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE
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We address the problem of maritime traffic management in busy waterways to increase the safety of navigation by reducing congestion. ...
We model maritime traffic as a large multiagent systems with individual vessels as agents, and VTS authority as the regulatory agent. ...
Acknowledgments This research is supported by the Agency for Science, Technology and Research (A*STAR), Fujitsu Limited and the National Research Foundation Singapore as part of the A*STAR-Fujitsu-SMU ...
doi:10.1609/aaai.v33i01.33016171
fatcat:c422mw4lcffw3nrufdxeleyv5q
Multiagent Decision Making and Learning in Urban Environments
2019
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence
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In this paper, I will overview some of our recent contributions towards developing planning and reinforcement learning strategies to address several such challenges present in large-scale urban multiagent ...
I also thank the UNi-CEN center at SMU (https://unicen.smu.edu.sg/) for providing a conducive environment. ...
Similarly, for maritime traffic, e-navigation aims to improve the management of the sea traffic by digitizing both on-board marine information and the communication between vessels and maritime traffic ...
doi:10.24963/ijcai.2019/895
dblp:conf/ijcai/Kumar19
fatcat:m7pe5nx2pfehndnmbyvk2hyete
Emerging Cyber risk Challenges in Maritime Transportation
2022
International Conference on Cyber Warfare and Security (ICIW)
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Maritime security and surveillance have become one of the main areas in managing overall situational awareness.For example, the growing importance of maritime traffic in cross-border trade has created ...
Cybersituational awareness is an essential part of the management of maritime situational awareness. ...
After this, the work will continue towards answering the main research question of the SMART project: How can a comprehensive cyber security architecture for smart port terminal be developed? ...
doi:10.34190/iccws.17.1.46
fatcat:td2s6ly4wratjfsxboefmo5jme
Designing Multiagent-Based Education Systems for Navigation Training
2006
2006 5th IEEE International Conference on Cognitive Informatics
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metaphor, and the knowledge-based decision-making support for intelligent agents. ...
The presented approach for designing multiagent-based systems is not only useful for education systems but also for other multiagent-based applications such as multirobotic systems. ...
Sheng-long Kao of the National Taiwan Ocean University for providing us ECID figures and the design requirements for MGIS support agent. The special thank goes to Bob Orchard for his proofreading. ...
doi:10.1109/coginf.2006.365536
dblp:conf/IEEEicci/YangLL06
fatcat:cox4fbmylzffxfdeoxnxrgl3x4
An Agent-Based Solution for the Berth Allocation Problem
2013
International Journal of Computers Communications & Control
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The architecture modeling was done using PASSI methodology for the design of agent-oriented systems, and the implementation was done in JADE, a Javabased development environment for multiagent systems. ...
This work presents the development of MABAP, a decision support system based on the agent technology that helps in solving the problem of berth allocation for ships within a port. ...
As early described, for each berth request coming for a ship the Dock agent makes a callfor-bids to the available BerthPlanner agents in charge of managing the ships' schedule of each berth. ...
doi:10.15837/ijccc.2013.3.465
fatcat:stoye4v5prdsdnqojvovdlceou
An Overview of Recent Application Trends at the AAMAS Conference: Security, Sustainability and Safety
2012
The AI Magazine
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Sarvapali Ramchurn for the example of the smart-grid. ...
Multiagent Traffic Management The increasing demand for mobility in our society has led to the more serious problem of traffic congestion. ...
AI and multiagent techniques have been proposed for traffic management (see (Klugl and Bazzan 2011; Bazzan 2009 ) for a survey). ...
doi:10.1609/aimag.v33i3.2420
fatcat:aiebij2arvcyzar5pcskv6awke
ROLE OF MARITIME POLICIES AND STRATEGIES IN SHAPING THE MARITIME SECURITY THREATS IN KENYA
2021
African Journal of Empirical Research
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However, the implementation of these maritime security frameworks and responses continue to face challenges, making them tend to be not so much effective in dealing with the maritime threats in Kenya's ...
maritime jurisdiction. ...
and how do their decision-making undermine or enhance the roles of your organizations?" ...
doi:10.51867/ajer.v2i1.18
fatcat:n4h5xvmbovglzmayjwp6oq5aau
Independent Reinforcement Learning for Weakly Cooperative Multiagent Traffic Control Problem
[article]
2021
arXiv
pre-print
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Recently, reinforcement learning (RL) has achieved marked successes in managing sequential decision making problems, which motivates us to apply RL in the ASTC problem. ...
The adaptive traffic signal control (ATSC) problem can be modeled as a multiagent cooperative game among urban intersections, where intersections cooperate to optimize their common goal. ...
Recently, reinforcement learning (RL) has achieved marked successes in managing sequential decision making problems, which motivates us to apply RL in the traffic control problem. ...
arXiv:2104.10917v1
fatcat:f2pinj66xrfgvk56tgfmkiacqa
The Event Management Problem in a Container Terminal
2013
Journal of Applied Research and Technology
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This paper presents a multiagent model to solve the event management problem; this problem has a number of features which makes the agent a suitable technology to consider applying. ...
The model presented is the basis for developing a tool for the event management process in order to contribute to the reduction of logistics cost and to enhance the competitiveness of the container terminal ...
decision making. ...
doi:10.1016/s1665-6423(13)71518-9
fatcat:o7vdbvjguvbzzpihtgamb3ipda
Towards Simulation-Aided Design of Multi-Agent Systems
[chapter]
2012
Lecture Notes in Computer Science
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Besides describing the capstones of the SADMAS approach and consequences of its application, we also illustrate it's use on a case-study of a next-generation decentralised air traffic management system ...
With the growing complexity of multi-agent applications and environments in which they are deployed, there is a need for development techniques that would allow for early testing and validation of application ...
As far as the application design is concerned, we argue that in the multiagent systems context, the initial application design should strive for maximum decentralisation of decision making of the application ...
doi:10.1007/978-3-642-28939-2_1
fatcat:imegulle7vgiboefvem73miejm
Trends in Models and Algorithms for Fleet Management
2011
Procedia - Social and Behavioral Sciences
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making processes (Ahuja and Liebchen, 2011). ...
Many of them, however, operate essentially in a demand-responsive mode: the demands for services are not known beforehand and the fleet has to be deployed and managed (re-routed) in real-time to handle ...
A different approach proposed by Belmonte et al. (2008) is based on the design and implementation of a multiagent decision support system for the bus fleet management domain. ...
doi:10.1016/j.sbspro.2011.08.004
fatcat:7tgw664otbcobbqxlz2iirlehy
Synergistic Integration Between Machine Learning and Agent-Based Modeling: A Multidisciplinary Review
2021
IEEE Transactions on Neural Networks and Learning Systems
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Agent-based modeling (ABM) involves developing models in which agents make adaptive decisions in a changing environment. ...
Machine-learning (ML) based inference models can improve sequential decision-making by learning agents' behavioral patterns. ...
[168] used online Q-learning for macrolevel decision-making in a MAS-based traffic signal control system to reduce the total travel time and delay of vehicles, and tests of different traffic scenarios ...
doi:10.1109/tnnls.2021.3106777
pmid:34473633
fatcat:vck4a2o7wbcl5ai6ntbdjvoigm
Guest Editorial: Special Issue on Enabling Massive IoT With 6G: Applications, Architectures, Challenges, and Research Directions
2021
IEEE Internet of Things Journal
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We would like to express our sincere thanks to all the authors for submitting their articles and to the reviewers for their valuable comments and suggestions that significantly enhanced the quality of ...
We hope that this special issue will serve as a useful reference for researchers, scientists, engineers, and academics in the field of massive IoT with 6G. ...
In "Distributed probabilistic offloading in edge computing for 6G-enabled massive Internet of Things," Liao et al. investigate the challenges for edge computing in 6G, especially on making offloading decisions ...
doi:10.1109/jiot.2021.3061231
fatcat:pqsf5wqmv5gdfjxilm56sszpom
Exploiting the Use of Cooperation in Self-Organizing Reliable Multiagent Systems
2018
Computing and informatics
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The Adaptive Multiagent Systems theory is applied to design adaptive groups of agents in order to build reliable multiagent systems. ...
In this paper, a novel and cooperative approach is exploited introducing a self-organizing engine to achieve high reliability and availability in multiagent systems. ...
However, during the decision process, the leader exploits only its local information when making a decision about the change in the agent's criticality. ...
doi:10.4149/cai_2018_6_1363
fatcat:jcl4qhefwrdupoxhpjdxb7bqwu
A Multi-agent Approach to Model and Analyze the Behavior of Vessels in the Maritime Domain
2017
Proceedings of the 9th International Conference on Agents and Artificial Intelligence
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First results for this algorithm are shown by using examples from the maritime domain. On the one hand, the algorithm is used to calculate an anomaly score. ...
Consequently, it is implied, that the objects are cooperating in order to achieve an optimal result for themselves. ...
The authors are responsible for the content of this article. ...
doi:10.5220/0006192002000207
dblp:conf/icaart/AnnekenFB17
fatcat:4izk7podgbapnglkkfanzhnbby
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