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Giuseppe Vizzari and Thomas Cecconello
Pedestrian simulation is a consolidated but still lively area of research. State of the art models mostly take an agent-based perspective, in which pedestrian decisions are made according to a manually defined model. Reinforcement learning (RL), on the o...
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Jishu K. Medhi, Rui Liu, Qianlong Wang and Xuhui Chen
Multiple unmanned aerial vehicle (multi-UAV) systems have gained significant attention in applications, such as aerial surveillance and search and rescue missions. With the recent development of state-of-the-art multiagent reinforcement learning (MARL) a...
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Dean Sumic, Lada Males and Marko Rosic
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 ac...
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Huimu Wang, Zhen Liu, Jianqiang Yi and Zhiqiang Pu
Multiagent cooperation is one of the most attractive research fields in multiagent systems. There are many attempts made by researchers in this field to promote cooperation behavior. However, several issues still exist, such as complex interactions among...
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Yifeng Zhou, Kai Di and Haokun Xing
Principal?assistant agent teams are often employed to solve tasks in multiagent collaboration systems. Assistant agents attached to the principal agents are more flexible for task execution and can assist them to complete tasks with complex constraints. ...
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Yu-Juan Luo, Cheng-Lin Liu and Guang-Ye Liu
This paper deals with the consensus tracking problem of heterogeneous linear multiagent systems under the repeatable operation environment, and adopts a proportional differential (PD)-type iterative learning control (ILC) algorithm based on the fractiona...
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Ana B. Gil, Fernando de la Prieta, Sara Rodríguez and Juan M. Corchado
The education sector is a major generator, consumer, and depositary of educational content. Thanks to technological advances, today?s educators and learners have ubiquitous and on-demand access to information. Technology has made it possible for us to co...
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Matteo Baldoni, Cristina Baroglio, Roberto Micalizio and Stefano Tedeschi
Multiagent systems can be seen as an approach to software engineering for the design and development of complex, distributed software. Generally speaking, multiagent systems provide two main abstractions for modularizing the software: the agents and the ...
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Raghda Alqurashi and Tom Altman
Agent-based model (ABM) simulation is a bottom?up approach that can describe the phenomena generated from actions and interactions within a multiagent system. An ABM is an improvement over model simulations which only describe the global behavior of a sy...
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Holger Billhardt, Alberto Fernández, Marin Lujak and Sascha Ossowski
Many challenges in today?s society can be tackled by distributed open systems. This is particularly true for domains that are commonly perceived under the umbrella of smart cities, such as intelligent transportation, smart energy grids, or participative ...
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