EvoBank: An evolutionary game solution for Bankruptcy problem

Mahini, Hamidreza; Navidi, Hamidreza; Babaei, Fatemeh; Mousavirad, Seyyedeh Mobarakeh

doi:10.1016/j.swevo.2021.100959

Cited by 7 publications

(6 citation statements)

References 15 publications

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“…Therefore, the evolutionary game is widely used to solve complex multi-agent game issues between incomplete rational agents in various fields (Cheng et al, 2020;Dong et al, 2023), for example, ecological environment (Tilman et al, 2020) and economic (Mahini et al, 2021). In particular, the application of the evolutionary game method in the field of CDW recycling has also received attention (Chen et al, 2023).…”

Section: Methodsmentioning

confidence: 99%

Evolutionary mechanism of green technology innovation behavior in the operation period of construction and demolition waste recycling public–private partnership projects

Yin

et al. 2023

Manage Decis Econ

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This paper aims to disclose the evolutionary mechanism of banks' green credit and construction and demolition waste (CDW) recycling enterprises' green technology innovation behavior during the operation period of CDW recycling public–private partnership projects with absorptive capacity theory. The conclusions are as follows. First, the government subsidy coefficient has a positive effect on the evolution of banks to participate in green credit. Second, absorptive capacity and the level of collaboration have a positive effect on the evolution of CDW recycling enterprises to collaborative innovation. Third, CDW recycling enterprises' green technology innovation behavior interacts with banks' green credit participation strategy.

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Section: Methodsmentioning

confidence: 99%

Evolutionary mechanism of green technology innovation behavior in the operation period of construction and demolition waste recycling public–private partnership projects

Yin

et al. 2023

Manage Decis Econ

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“…In addition, the study of firms’ adoption of green development behaviors is a central facet of evolutionary research [ 46 ]. Furthermore, some studies have introduced novel and effective inventory solutions to address bankruptcy-related challenges [ 47 ]. The interplay between the evolutionary dynamics of participants in evolutionary games and their environmental context has also attracted academic interest [ 48 ].…”

Section: Related Workmentioning

confidence: 99%

Enhancing rural B&B management through machine learning and evolutionary game: A case study of rural revitalization in Yunnan, China

Jin,

Min,

et al. 2024

PLoS ONE

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The rural B&B industry is a key component of rural tourism, local economic development, and the wider rural revitalization strategy. Despite the abundance of tourism resources in Yunnan, the B&B sector faces significant challenges. It is therefore imperative to accurately identify the most pressing issues within the current B&B industry and formulate appropriate solutions to advance Yunnan’s rural revitalization efforts. This study uses recent reviews of rural B&Bs on Ctrip.com and employs machine learning techniques, including Bert, CNN, LSTM, and GRU, to identify the key management challenges currently facing Yunnan’s rural B&B industry. An analysis is then conducted to identify the key stakeholders involved in the process of improving the management of Yunnan’s B&Bs. To assess the willingness of each stakeholder to support the improvement of the rural B&B industry, this paper establishes a three-party evolutionary game model and examines the dynamic evolutionary process of management improvement within Yunnan’s rural B&B industry. Two scenarios of evolutionarily stable strategies are analyzed, and parameters impacting stakeholders’ strategy choices are simulated and evaluated. The results show that: i) Improving the "human factor" is the top priority for the current management improvement because tourists are most concerned about the emotional experience. Operators need to focus on improving service attitude and emotional experience; ii) The main stakeholders in the current management optimization process of Yunnan B&Bs are the local government, B&B operators, and tourists. Under appropriate conditions, the evolutionarily stable strategy of (1, 1, 1) is reachable. iii) variables such as additional costs, tourists’ choice preferences, and government penalties significantly affect the strategy choices of stakeholders, especially B&B operators. This paper offers effective strategies for improving B&B management that can benefit the government, B&B operators, and tourists, and ultimately contribute to the promotion of quality rural revitalization. The paper not only identifies focal areas for improving B&B management in rural Yunnan, but also provides an in-depth understanding of stakeholder dynamics. As a result, it provides valuable insights to further the cause of quality rural revitalization.

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“…Unlike competing with others [ 39 ], agents in cooperative games aim to solve a common task or maximizing the overall payoff to collaborate with each other. Therefore, from this perspective, the MCA problem can also be considered a profit-sharing problem in cooperative games [ 40 ], for which various methods such as the Shapley method [ 41 ], the core [ 42 , 43 ], Nash bargaining [ 43 ], and bankruptcy [ 44 , 45 ] have been suggested for. One of the methods used to allocate resources when they are limited and there are many applicants is the bankruptcy method [ 45 ]; this happens when the available resources are less than what is requested by the applicants.…”

Section: Related Workmentioning

confidence: 99%

“…Therefore, from this perspective, the MCA problem can also be considered a profit-sharing problem in cooperative games [ 40 ], for which various methods such as the Shapley method [ 41 ], the core [ 42 , 43 ], Nash bargaining [ 43 ], and bankruptcy [ 44 , 45 ] have been suggested for. One of the methods used to allocate resources when they are limited and there are many applicants is the bankruptcy method [ 45 ]; this happens when the available resources are less than what is requested by the applicants. Since we are facing a global reward issue, which is a limited resource and ought to be appropriately distributed among the agents applying for the reward, we are facing bankruptcy.…”

Section: Related Workmentioning

confidence: 99%

“…In order to assign credits to agents, the present paper employed the concept of bankruptcy. The problem of bankruptcy is a part of the cooperative game theory, and it attempts to define the method of distributing a debtor’s assets among their creditors when those assets are not enough to meet their total claims; thus, the amounts allocated to every single creditor is a non-negative value, which is not higher than the amount claimed [ 45 ].…”

Section: Preliminariesmentioning

confidence: 99%

See 1 more Smart Citation

Multi-Agent Credit Assignment and Bankruptcy Game for Improving Resource Allocation in Smart Cities

Yarahmadi

Shiri

Challenger

et al. 2023

Sensors

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In recent years, the development of smart cities has accelerated. There are several issues to handle in smart cities, one of the most important of which is efficient resource allocation. For the modeling of smart cities, multi-agent systems (MASs) can be used. In this paper, an efficient approach is proposed for resource allocation in smart cities based on the multi-agent credit assignment problem (MCA) and bankruptcy game. To this end, the resource allocation problem is mapped to MCA and the bankruptcy game. To solve this problem, first, a task start threshold (TST) constraint is introduced. The MCA turns into a bankruptcy problem upon introducing such a constraint. Therefore, based on the concept of bankruptcy, three methods of TS-Only, TS + MAS, and TS + ExAg are presented to solve the MCA. In addition, this work introduces a multi-score problem (MSP) in which a different reward is offered for solving each part of the problem, and we used it in our experiments to examine the proposed methods. The proposed approach is evaluated based on the learning rate, confidence, expertness, efficiency, certainty, and correctness parameters. The results reveal the better performance of the proposed approach compared to the existing methods in five parameters.

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EvoBank: An evolutionary game solution for Bankruptcy problem

Cited by 7 publications

References 15 publications

Evolutionary mechanism of green technology innovation behavior in the operation period of construction and demolition waste recycling public–private partnership projects

Evolutionary mechanism of green technology innovation behavior in the operation period of construction and demolition waste recycling public–private partnership projects

Enhancing rural B&B management through machine learning and evolutionary game: A case study of rural revitalization in Yunnan, China

Multi-Agent Credit Assignment and Bankruptcy Game for Improving Resource Allocation in Smart Cities

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