Participant Selection for Short-term Collaboration in Open Multi-agent systems

Golpayegani, Fatemeh; Sahaf, Zahra; Dusparić, Ivana; Clarke, Siobhán

doi:10.1016/j.simpat.2017.11.007

Cited by 9 publications

(5 citation statements)

References 12 publications

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“…In the literature, several works on MAS have focused on the possibility that agents may join or leave the network. For example, in [4], the problem of adaptive coalition formation is considered; in [5] the authors develop a trust and reputation model for open multi-agent systems; [6] presents an OMAS gossiping framework; the works in [7], [8] focus on the ability of agents in an OMAS setting to form short-term teams; in [9] the stability of gradient descent for OMAS is discussed. Notably, consensus and, in particular, average consensus, represents a popular topic in the context of OMAS, and several distributed consensus algorithms that explicitly account for agents that may join or leave the network have been proposed in the literature.…”

Section: A State Of the Artmentioning

confidence: 99%

A Sum-of-States Preservation Framework for Open Multiagent Systems With Nonlinear Heterogeneous Coupling

Oliva,

Franceschelli,

Gasparri

et al. 2024

IEEE Trans. Automat. Contr.

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In this paper, we develop a general Open Multi-Agent Systems (OMAS) framework over undirected graphs where the agents' interaction is, in general, nonlinear, timevarying, and heterogeneous, in that the agents interact with different pairwise interaction rules for each link, possibly nonlinear, which may change over time. In particular, assuming the agents interact by exchanging flows, which modify their states, our framework guarantees that the sum of the states of agents participating to the network is preserved. To this end, agents maintain a state variable for each of their neighbors. Upon disconnection of a neighbor, such a variable is used to completely eliminate the effect of previous interaction with disconnected agents from the overall systems. In order to demonstrate the effectiveness of the proposed OMAS framework, we provide a case study focused on average consensus, and, specifically, we develop a sufficient condition on the structure of the agents' interaction guaranteeing asymptotic convergence under the assumption that the network becomes fixed. The paper is complemented by simulation results that numerically demonstrate the effectiveness of the proposed method.

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Section: A State Of the Artmentioning

confidence: 99%

A Sum-of-States Preservation Framework for Open Multiagent Systems With Nonlinear Heterogeneous Coupling

Oliva,

Franceschelli,

Gasparri

et al. 2024

IEEE Trans. Automat. Contr.

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“…Multi-agent collaboration mainly refers to the collaboration of two or more individuals to achieve the same goal. Among them, each individual will influence and cooperate with each other [34]. The synergy can break the barriers of different subjects in multiagent collaboration and achieve a win-win in a real sense [35].…”

Section: Multi-agent Collaborationmentioning

confidence: 99%

“…Golpayegani et al [34] described a collaborative P-MCTS CP (MCTS) model for electric cars, through consultation to actively influence the planning process, to solve their own conflicts, and use the consultation process of collective knowledge to optimize the final consumption patterns; the results show that during the rush hour, there is an obvious load transfer, and the load curve is more smooth, increasing the fees of fairness and flexibility. Hammes et al [56] showed that civil buildings produce a large amount of garbage every year, which can be recycled through reverse logistics.…”

Section: The Relationship Between Multi-agent Collaboration and Logis...mentioning

confidence: 99%

Understanding the Effect of Multi-Agent Collaboration on the Performance of Logistics Park Projects: Evidence from China

et al. 2022

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With the rapid development of a new generation of information technology and data systems, there are more and more modern logistics park projects appearing in China. However, in the process of the construction and operation of a logistics park project, there is often a lack of coordination between the multiple parties (usually the government, the development enterprise and the entered enterprises), which leads to a series of problems such as low efficiency and disordered management and so on, finally affecting the project performance. However, few studies have focused on this phenomenon, and prior studies are unclear regarding the impact of multi-agent collaboration on logistics park project performance. Therefore, in this study, we investigate the link between multi-agent collaboration and the logistics park project performance based on survey data from Yunnan Province in China. The empirical analysis was conducted using the partial least squares (PLS)-based structural equation modeling with Smart PLS 2.0. The data analysis results suggest that the three dimensions of multi-agent collaboration (management, mechanism and information collaboration) have a significant positive impact on the performance of a logistics park project. Under different environmental dynamics conditions, different strategies should be adopted by a logistics park project to improve the performance. This study provides a new perspective for understanding the value of multi-agent collaboration in logistics park projects both in theory and practice.

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“…We use MAS, where agents coordinate their behaviour and work together to achieve a shared goal through collaboration (Golpayegani et al, 2018). The goal here is to obtain a solution using scalability, in the aim to mitigate risk of unload.…”

Section: Scenariomentioning

confidence: 99%

Towards a scalability approach for risk mitigation in electrical systems

Larbi

Belalem

Beldjilali

2018

IJKEDM

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Electrical energy has been used for decades to power domestic equipment, small and large industries and transportation with the electrification of everything, the availability of electricity becomes crucial. In order to guarantee the continuity of the electrical energy supply, companies must have effective means to prevent risks that may arise on the electricity networks. This paper is focused on the risk of insufficient power supply for end customers. The solutions consist of upsizing the existing equipment configuration and/or add other equipments in order to guarantee an increase in power supply. The proposed approach is based on distributed artificial entities corresponding to the distributed enterprise actors. We propose a control system, based on a decision making system to help decision-makers to take the best scalability solution. The results show that the degree of effectiveness of each type of scalability depends on one electrical system configuration to another.

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Participant Selection for Short-term Collaboration in Open Multi-agent systems

Cited by 9 publications

References 12 publications

A Sum-of-States Preservation Framework for Open Multiagent Systems With Nonlinear Heterogeneous Coupling

A Sum-of-States Preservation Framework for Open Multiagent Systems With Nonlinear Heterogeneous Coupling

Understanding the Effect of Multi-Agent Collaboration on the Performance of Logistics Park Projects: Evidence from China

Towards a scalability approach for risk mitigation in electrical systems

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