Results 21 to 30 of about 334,534 (257)
Avoiding collaborative paradox in multi‐agent reinforcement learning
ETRI Journal, 2021 The collaboration productively interacting between multi‐agents has become an emerging issue in real‐world applications. In reinforcement learning, multi‐agent environments present challenges beyond tractable issues in single‐agent settings.
Hyunseok Kim +3 more
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Formation control of underwater vehicles using Multi Agent System [PDF]
Archives of Control Sciences, 2020 This paper proposes the development of a formation control algorithm of multiple acoustic underwater vehicles by employing the behaviour of autonomous mobile agents under a proposed pursuit.
Bikramaditya, Das +2 more
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IET Control Theory & Applications, 2023 This paper introduces a distributed adaptive formation control for large‐scale multi‐agent systems (LS‐MAS) that addresses the heavy computational complexity and communication traffic challenges while directly extending conventional distributed control ...
Shawon Dey, Hao Xu
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Multi agent gathering waste system
Advances in Distributed Computing and Artificial Intelligence Journal, 2016 Along this paper, we present a new multi agent-based system to gather waste on cities and villages. We have developed a low cost wireless sensor prototype to measure the volume level of the containers.
Álvaro LOZANO MURCIEGO +4 more
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Deliberate Evolution in Multi-Agent Systems [PDF]
International Journal of Software Engineering and Knowledge Engineering, 2000 Evolution of automated systems, in particular evolution of automated agents based on agent deliberation, is the topic of this paper. Evolution is not a merely material process, it requires interaction within and between individuals, their environments and societies of agents.
Brazier, F.M.T. +3 more
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Distributed network multi agent security system. Net-Mass
Revista Facultad de Ingeniería Universidad de Antioquia, 2005 Network security is one of the weakest and most sensitive areas within an organization, because it requires different strategies to protect vulnerable points as well as the coordination and distribution of efforts in order to encompass all the possible ...
Daniel Horfan Álvarez +2 more
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Deep Convolutional Neural Networks for Plant Recognition in the Natural Environment [PDF]
Warasan Witthayasat Lae Theknoloyi Mahawitthayalai Mahasarakham, 2019 This paper examines a deep convolutional neural network (Deep CNN) for plant recognition in the natural environment. The primary objective was to compare 4 CNN architectures including LeNet-5, AlexNet, GoogLeNet, and VGGNet on three plant datasets; PNE ...
Jakkarin Sanuksan
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Programming multi-agent systems
The Knowledge Engineering Review, 2009 AbstractWith the significant advances in the area of autonomous agents and multi-agent systems in the last decade, promising technologies for the development and engineering of multi-agent systems have emerged. The result is a variety of agent-oriented programming languages, development frameworks, execution platforms, and tools that facilitate ...
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Patients with high‐risk neuroblastoma who either are refractory to induction chemotherapy or relapse following multi‐modal treatment have a dismal prognosis. Based on data from the BEACON trial, since 2021 the UK national guidelines recommend bevacizumab, irinotecan, and temozolomide (BIT) for patients with relapsed/refractory ...
Thomas J. Jackson +20 more
wiley +1 more source
Strategic behavior of large language models and the role of game structure versus contextual framing
Scientific ReportsThis paper investigates the strategic behavior of large language models (LLMs) across various game-theoretic settings, scrutinizing the interplay between game structure and contextual framing in decision-making.
Nunzio Lorè, Babak Heydari
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