A Realistic Decision Making for Task Allocation in Heterogeneous Multi-agent Systems

Kim, Yong-Ho; Matson, Eric T.

doi:10.1016/j.procs.2016.08.059

Cited by 14 publications

(2 citation statements)

References 12 publications

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“…MASs are widely studied in a variety of fields such as task allocation [16], online trading [37], disaster response [9], and modeling social structures [39]. There are some works related to MASs in the healthcare domain, such as in medical data management [41], patient scheduling [25], and remote care (e.g., for senior citizens) [5,10,17,40].…”

Section: Related Workmentioning

confidence: 99%

A dialogue-based approach for dealing with uncertain and conflicting information in medical diagnosis

Yan

Lindgren

Nieves

2018

Auton Agent Multi-Agent Syst

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In this paper, we propose a multi-agent framework to deal with situations involving uncertain or inconsistent information located in a distributed environment which cannot be combined into a single knowledge base. To this end, we introduce an inquiry dialogue approach based on a combination of possibilistic logic and a formal argumentation-based theory, where possibilistic logic is used to capture uncertain information, and the argumentation-based approach is used to deal with inconsistent knowledge in a distributed environment. We also modify the framework of earlier work, so that the system is not only easier to implement but also more suitable for educational purposes. The suggested approach is implemented in a clinical decision-support system in the domain of dementia diagnosis. The approach allows the physician to suggest a hypothetical diagnosis in a patient case, which is verified through the dialogue if sufficient patient information is present. If not, the user is informed about the missing information and potential inconsistencies in the information as a way to provide support for continuing medical education. The approach is presented, discussed, and applied to one scenario. The results contribute to the theory and application of inquiry dialogues in situations where the data are uncertain and inconsistent.

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Section: Related Workmentioning

confidence: 99%

A dialogue-based approach for dealing with uncertain and conflicting information in medical diagnosis

Yan

Lindgren

Nieves

2018

Auton Agent Multi-Agent Syst

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“…Subsequently, the auctioneer selects the optimal actuator with the highest reward which means high efficiency and low-energy cost. The issue of cooperation between actuators has been studied in Mezei et al, 10 Fatemi et al, 11 Kim and Matson, 12 Geyik et al, 13 and Panchu et al 14 These literatures use appropriate mechanisms to find the optimal actuator in a particular application scenario with fixed network parameters. However, they ignore that the network parameter is time-varying in some scenarios.…”

Section: Introductionmentioning

confidence: 99%

Adaptive auction protocol for task assignment in wireless sensor and actuator networks

Wang

Kou

et al. 2020

International Journal of Distributed Sensor Networks

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The development of wireless sensor and actuator network is leading to high complexity networks and subsequently, new challenges in task assignment for effective sensor–actuator coordination. This article proposes an adaptive auction protocol for task assignment in multi-hop wireless actuator networks, considering a scenario where all actuators are immobile and each of them can obtain the target information from sensors. Unlike existing methods that neglect the adaptive auction area required by dynamic networks, the proposed method uses an adaptive factor [Formula: see text] (reflects the adaptive auction area) that is deduced based on the relation between network characteristics and protocol performance. Simulation results show that the adaptive protocol can dynamically change the auction area during the network operation. In addition, comparison with existing methods, such as simple auction protocol, 1 hop simple auction aggregation protocol, and 1 hop simple auction aggregation protocol greedy extension, shows that the adaptive auction protocol can choose the optimal solution at a low communication cost with a high probability, irrespective of the changes in the network.

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Auction Model for Transport Order Assignment in AGV Systems

Rivas

Jiménez-Jané

Xirgo

2018

Advances in Intelligent Systems and Computing

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A Realistic Decision Making for Task Allocation in Heterogeneous Multi-agent Systems

Cited by 14 publications

References 12 publications

A dialogue-based approach for dealing with uncertain and conflicting information in medical diagnosis

A dialogue-based approach for dealing with uncertain and conflicting information in medical diagnosis

Adaptive auction protocol for task assignment in wireless sensor and actuator networks

Auction Model for Transport Order Assignment in AGV Systems

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