Negotiation Mechanism Research Articles

Why are ethno-territorial wars shorter under authoritarian regimes? War-fighting, cost-tolerance and negotiation mechanisms

The civil war (CW) duration literature sometimes finds that authoritarianism leads to shorter wars, and sometimes that regime type has no significant impact. Most commonly, authoritarian regimes (ARs) are expected to fight wars more effectively, thus ending wars earlier by military victory; but also to be more tolerant of war costs, and thus less likely to negotiate ends to wars. We also investigate whether ARs’ willingness to make substantive concessions to rebels – due to their lesser accountability – makes war-ending negotiations more likely. For theoretical and empirical reasons, we limit our universe of cases to the ethno-territorial type of CW and control for the effect of leadership preferences. Our results show that highly ARs tend to have shorter ethno-territorial wars and democracies longer ones; and that the concessions-constraint mechanism is the strongest and the war-costs-tolerance mechanism the weakest.

Distributed cooperative guidance strategy based on virtual negotiation and rolling optimization

The problem of multi-UAV cooperative guidance under target maneuvering conditions is studied, and a distributed cooperative guidance strategy based on virtual negotiation mechanism and rolling horizon optimization is proposed. Firstly, in order to improve the time coordination and guidance control effect at the same time, local coordination variables and objective functions are designed under the rolling horizon optimization framework, and a multi-constrained cooperative guidance optimization model in a limited time domain is constructed; secondly, in order to enhance the robustness of the guidance system to maneuvering targets, a disturbance observer based on nonlinear autoregressive neural network is designed; thirdly, for the control input coupling between UAVs, a virtual negotiation mechanism is proposed to achieve synchronous decision-making and eliminate internal "differences", and the root mean square propagation algorithm of Nesterov momentum is used to design the guidance command generation strategy; finally, digital simulation and semi-physical simulation experiments are carried out respectively. The results show that the proposed guidance strategy can cope with various interferences and improve the cooperative guidance effect through online prediction and optimization, and is expected to be further applied and tested in actual tasks.

An agent-based framework for resilience analysis of service networks

Service networks made up of nodes and links inevitably suffer from performance degradation due to the negative effect of natural disasters and intentional attacks. Resilience is defined as the capability of recovering from disruptive events. Resilience analysis is of vital importance to evaluate network performance during the whole operation process. Given the dynamic characteristic of service networks, it is difficult to reflect the actual performance through static models. Moreover, resilience assessment should proceed with multiple metrics because network resilience is a multifaceted capability. To this end, an agent-based framework for resilience analysis is developed in this paper. Nodes are regarded as agents with independent decision-making to better respond to disruptions. The multi-agent negotiation mechanism is introduced to satisfy service requirements using deep Q-learning. In addition, network resilience is comprehensively assessed in terms of reliability, supportability and maintainability. A case study of Iridium system is conducted to illustrate the applicability of the agent-based framework. The results show that the developed framework can select the optimal route for task assignment and quantify resilience in the dynamic environment.

Blockchain and FEF-Based Lightweight Anonymous Authentication Protocol for Wireless Medical Sensor Networks

Authentication ensures the privacy of patients by enabling access control within wireless medical sensor networks. However, many schemes do not consider the resource-constrained environments, making those protocols unusable. Meanwhile, sensitive patient information continues to be stored and accessed in a central location, increasing the risk of “single points of failure.” To solve this problem, the researchers designed a lightweight anonymous authentication protocol based on blockchain technology and fuzzy extraction. First, they created a multiround session key negotiation mechanism. Then, they utilized the fuzzy extraction function to extract and recover multimodal biometric features. Decentralization was achieved through blockchain and smart contracts. Simultaneously, the researchers also provided a formal security proof by Burrows-Abadi-Needham logic. Finally, experiments using the Java Pairing-Based Cryptography Library show that this scheme outperforms the comparison schemes in terms of computational overhead and communication overhead.

BSSN-SDNs: A Blockchain-Based Security Service Negotiation for the SDN Interdomain

The security requirements for SDN (Software-Defined Network) cross-domain communication are diverse and dynamically changing; thus, a security service negotiation function is required for the SDN interdomain. However, the SDN interdomain distributed communication environment leads to a lack of trustworthiness and security. Therefore, this paper proposes a blockchain-based SDN interdomain security service negotiation mechanism, BSSN-SDNs, to provide automatic, secure, and trustworthy SDN interdomain security service negotiation. BSSN-SDNs proposes a three-layer reference architecture that enables joint on-chain and off-chain work by extending the security service negotiation module and blockchain client on the controller and deploying security service negotiation smart contracts on the blockchain. It especially adopts non-interactive key exchange and the message authentication code to ensure the confidentiality of the secure service negotiated on-chain. Finally, the timeliness as well as security and trustworthiness of BSSN-SDNs are analyzed, and the FISCO BCOS-based experiment results show that the delay of BSSN-SDNs is acceptable and is positively correlated with the number of policies and the number of SDN domains involved in negotiation.

Competitive Pricing for Resource Trading in Sliced Mobile Networks: A Multi-Agent Reinforcement Learning Approach

The emergence of network slicing as a flagship technology in 5G networks has not only enhanced network expansion and flexibility in resource management for service continuity, but also provided an avenue for establishing a viable market for resource sharing. To optimize the network's resource usage, stakeholders are encouraged to take pragmatic steps toward dynamic resource sharing. This paper designs a techno-economic model for the strategic interactions among multiple competing mobile virtual network operators (MVNOs) and their users in a trading marketplace. We formulate the dynamic pricing problem as a two-stage Stackelberg game, where the MVNOs are leaders, and the users are followers. In the first stage, the MVNOs compete to set their differentiated unit prices using a negotiation mechanism while considering system-level network load. Then, the users decide their purchasing volumes to match the prices of the MVNOs. We transform the game-based optimization problem into a stochastic Markov decision process (MDP) problem and propose a multi-agent deep Q-network (MADQN) method that obtains an optimal solution for the formulated game. Simulation results and analysis reveal that the proposed algorithm achieves convergence under the competitive pricing scheme (CPS) and independent pricing scheme (IPS) while enhancing MVNOs and users' utilities at acceptable levels.

Risk management and empirical study of the doctor-patient relationship: based on 1790 litigation cases of medical damage liability disputes in China

BackgroundCompensation for medical damage liability disputes (CMDLD) seriously hinders the healthy development of hospitals and undermines the harmony of the doctor-patient relationships (DPR). Risk management in the DPR has become an urgent issue of the day. The study aims to provide a comprehensive description of CMDLD in China and explore its influencing factors, and make corresponding recommendations for the management of risks in the DPR.MethodsThis study extracted data from the China Judgment Online - the official judicial search website with the most comprehensive coverage. Statistical analysis of 1,790 litigation cases of medical damage liability disputes (COMDLD) available from 2015 to 2021.ResultsCOMDLD generally tended to increase with the year and was unevenly distributed by regions; the compensation rate was 52.46%, the median compensation was 134,900 yuan and the maximum was 2,234,666 yuan; the results of the single factor analysis showed that there were statistically significant differences between the compensation for different years, regions, treatment attributes, and trial procedures (P < 0.05); the correlation analysis showed that types of hospitals were significantly negatively associated with regions (R=-0.082, P < 0.05); trial procedures were significantly negatively correlated with years (R=-0.484, P < 0.001); compensat- ion was significantly positively correlated with years, regions, and treatment attributes (R = 0.098–0.294, P < 0.001) and negatively correlated with trial procedures (R=-0.090, P < 0.01); regression analysis showed that years, treatment attributes, and regions were the main factors affecting the CMDLD (P < 0.05).ConclusionsYears, regions, treatment attributes, and trial procedures affect the outcome of CMDLD. This paper further puts forward relevant suggestions and countermeasures for the governance of doctor-patient risks based on the empirical results. Including rational allocation of medical resources to narrow the differences between regions; promoting the expansion and sinking of high-quality resources to improve the level of medical services in hospitals at all levels; and developing a third-party negotiation mechanism for medical disputes to reduce the cost of medical litigation.

THE SIGNIFICANCE OF THE LAW ON AMICABLE RESOLUTION OF LABOR DISPUTES AND THE REVIEW OF THE PRACTICE THUS FAR

During the work process, numerous instances of dispute regarding the positions of the employees, or the interpersonal relations between them or between them and their employer may arise. In addition to the traditional judicial method of labor dispute resolution, it is necessary to develop independent and impartial negotiation mechanisms between the parties in the area of individual and collective labor disputes. In Serbia, these are certainly the arbitration settlement of individual and collective labor disputes, and conciliation as a method of resolving collective labor disputes within and through the Republic Agency for Peaceful Settlement of Labor Disputes. There are many benefits to peaceful labor dispute settlement. The goal of supplementary procedures, i.e. procedures for peaceful labor dispute resolution, is to relieve the traditional judicial approach and direct it to the procedures where a judicial settlement of the dispute is truly necessary. Besides the concept, advantages and characteristics of the amicable labor dispute settlement procedures, certain types of these procedures such as mediation, conciliation and arbitration are also analyzed in the theoretical section of this paper, as well as the most important provisions of the Employment Act and the Law on Amicable Resolution of Labor Disputes. In the research section of this paper, the practice of the Republic Agency for Peaceful Settlement of Labor Disputes in the procedures of amicable labor dispute settlement, both for the territory of the Republic of Serbia and the territory of the City of Novi Sad, is analyzed. The primary research data source was the official data of the Republic Agency for Peaceful Settlement of Labor Disputes. The paper is methodologically based on a theoretical analysis of relevant contemporary theoretical views, a normative analysis of legislative sources, and a quantitative analysis of statistical indicators in the domain of the research subject.

Experimental demonstration of 17.5 Gb/s physical layer key distribution over 100 km fiber link based on channel physical intrinsic property and polarization reciprocity.

Secure key distribution (SKD) schemes based on fiber channel reciprocity provide information-theoretic security as well as a simple symmetric structure. However, the nonlinear effects and backscattering effects introduced during the bidirectional transmission process degrade the channel reciprocity. Recent unidirectional SKD schemes avoid non-reciprocal factors but require additional negotiation mechanisms to aggregate the transmitter and receiver data. Here, we propose a unidirectional SKD scheme based on channel physical intrinsic property and polarization reciprocity. The designed loopback structure constructs asymmetry between legitimate and illegitimate parties while aggregating data. The deployment of a broadband chaotic entropy source significantly improves the key generation rate (KGR). In the experiment, the KGR reaches 17.5 Gb/s, and the distribution distance reaches 100 km.

A bilateral negotiation mechanism by dynamic harmony threshold for group consensus decision making

This article proposes a framework for bilateral negotiation mechanism to deal the case the concordant decision-makers (DMs) coalition cannot be constructed, which resolves the limitations of the existing group decision making methods. Bilateral negotiation means a process in which any two involved DMs change their own opinions based on each other’s opinions, avoiding the formation of group coalitions and the coercion of individual DMs. It can not only improve group consensus by interaction between individual DMs, but also considers the limited compromise behavior of DMs in the consensus bargaining process. The key contributions of this article contain: (1) It investigates the concept of ‘harmony threshold’ by combining the consensus levels of individual DMs and the number of group members to explain the limited compromise behavior of DMs. (2) it proposes a novel bilateral negotiation consensus mechanism with personalized compromise behavior with the group consensus threshold as the objective function and personalized harmony thresholds as constraints to help any two discording DMs partly to adopt each other’s opinions. And (3) It develops the ranking difference level (RDL) to measure the deviation degree between the final ranking of alternatives and all the DMs’ original rankings of alternatives. The research found that the proposed mechanism can reduce consensus cost by 40% and ranking difference by 5%.

A three-stage solution approach with a repeated-negotiation mechanism for the decentralized resource-constrained multi-project scheduling problem

PurposeThis study develops a model and algorithm to solve the decentralized resource-constrained multi-project scheduling problem (DRCMPSP) and provides a suitable priority rule (PR) for coordinating global resource conflicts among multiple projects.Design/methodology/approachThis study addresses the DRCMPSP, which respects the information privacy requirements of project agents; that is, there is no single manager centrally in charge of generating multi-project scheduling. Accordingly, a three-stage model was proposed for the decentralized management of multiple projects. To solve this model, a three-stage solution approach with a repeated negotiation mechanism was proposed.FindingsThe experimental results obtained using the Multi-Project Scheduling Problem LIBrary confirm that our approach outperforms existing methods, regardless of the average utilization factor (AUF). Comparative analysis revealed that delaying activities in the lower project makespan produces a lower average project delay. Furthermore, the new PR LMS performed better in problem subsets with AUF &lt; 1 and large-scale subsets with AUF &gt; 1.Originality/valueA solution approach with a repeated-negotiation mechanism suitable for the DRCMPSP and a new PR for coordinating global resource allocation are proposed.

Distributed transaction optimization model of multi-integrated energy systems based on nash negotiation

Integrated energy system (IES) can achieve multi energy complementarity, but it still faces the problem of energy surplus or shortage. Therefore, there are demands for energy sharing among different IESs, but how to determine the trading quantity and trading price? To address this confusion, a distributed optimization model for multi-IES participating in peer-to-peer (P2P) transactions based on asymmetric Nash negotiation is innovatively proposed. First, to facilitate the energy sharing of several IESs with different structures, a P2P trading framework is designed. Second, to meet the needs of individual rationality and alliance cooperation at the same time, a distributed transaction optimization model based on Nash negotiation is proposed. Considering the discourse power determined by contribution, an asymmetric bargaining mechanism is designed. Third, to protect the privacy and improve solution performance, the improved adaptive step-size alternating direction multiplier algorithm (ADMM) is used for the distributed sequential solution. Finally, the effectiveness of the proposed trading framework, bargaining mechanism, optimization model, and solution algorithm are verified by the implementation of simulation. The simulation results show that: 1) The proposed model and algorithm can assist managers in determining the quantity and price of P2P electricity transactions. 2) Compared with the independent operation mode, the cooperative operation mode has significantly improved the overall interests and individual interests. 3) In distributed transactions, managers only need to submit limited information, which protects the privacy and security of each agent. 4) The asymmetric Nash negotiation mechanism can measure discourse power based on contribution. 5) The improved ADMM has the advantages of stronger convergence performance and faster solution speed.

Probing an Easy-to-Deploy Multi-Agent Manufacturing System Based on Agent Computing Node: Architecture, Implementation, and Case Study

Abstract Due to the widespread adoption of personalized customization services, the application contexts within discrete manufacturing workshops have become increasingly intricate, necessitating the modern industry to evolve toward a more adaptable production trajectory. The pre-established production rules in a traditional centralized control manufacturing system present difficulties in accommodating dynamic situations. Although a multi-agent manufacturing system (MAMS) yields natural advantages in handling dynamic emergencies, the current research is limited to the computer simulation level and lacks integration with the underlying physical devices. In order to mitigate said challenges, the standardization modeling approach for the agent computing node (ACN) to facilitate the implementation of a readily deployable MAMS was proposed in the present study. Initially, adapters encompassing communication, decision, and control modules were developed within the industrial personnel computer-based computing node to accommodate the heterogeneous interface protocols of diverse machines. These adapters enable communication and interaction among machines while laying the computational foundation for the ACN. Accordingly, the models of the machine agent, the part agent, and the monitoring agent were constructed based on ACNs and could perceive the dynamic production information and support the enabling application. Subsequently, to guide ACNs in making scheduling decisions beneficial to global performance, an improved negotiation mechanism in MAMS was achieved in real-time. Finally, the proposed MAMS based on the ACN was deployed in an actual flexible machining workshop. Comparative experiments were implemented and, as exhibited from the experimental results, the proposed ACNs possessed the capabilities of achieving optimal global decision-making and facilitating straightforward deployment.

Cooperation mechanism, product quality, and consumer segment in group buying

We analyze the cooperation mechanism in a group buying channel where a supplier sells products to heterogeneous consumers through an organizer. We consider two cooperation mechanisms: traditional wholesale mechanism and commission negotiation mechanism. In particular, suppliers often need to negotiate the commission fee with organizers who promote products in group buying. The organizer faces two types of consumers who differ in their valuation of product quality (i.e., informed consumers and one less-informed consumers). We identify the conditions under which cooperation mechanism and consumer segment can lead to ”win-win” and ”win-lose” outcomes for the supplier and the organizer in group buying. We find that the supply chain incentives are often misaligned under the wholesale mechanism because the supplier extracts the entire profit from the organizer. However, the supplier and the organizer have perfect alignment of preferences when the operating cost is medium and the bargaining power is not so high. We also show that, when the product quality is endogenous, the commission negotiation mechanism can generate more consumer surplus. The theoretical and managerial insights derived from this work contribute to a deeper conceptual and practical comprehension of how suppliers make strategic decisions in group buying settings.

The multi-factory two-stage assembly scheduling problem

The recent notable focus on distributed production management in academic and industrial contexts has underscored the importance of scheduling across multiple factories. Accordingly, this study investigates a new multi-factory configuration in which non-identical factories produce different components of a final product in the first stage. Each factory is considered as a classical flow-shop, which can manufacture a unique component. These components are assembled into final products in the assembly factory, which is located in the second stage. Unlike other distributed scheduling problems, to determine a united production sequence in such a system, there is no need to find a suitable factory to assign a job since each factory is qualified for a particular task. In real-world applications, these systems encounter challenges that span from information architectures and negotiation mechanisms to the development of scheduling algorithms. The objective of this research is to schedule the jobs in each factory to minimize the makespan of the entire process. For this purpose, a mixed-integer programming model is developed to deal with small-size instances. Then, the lower bound is derived and incorporated to develop a branch and bound method. Furthermore, to deal with larger instances, five heuristic methods are developed, and the worst-case analysis is carried out. Computational experiments are conducted for different test classes to compare and to highlight the performance of the proposed solution procedures.

Using Walking Interviews in Migration Research: A Systematic Review of the Qualitative Research Literature

In the field of migration research, the frequency of employing qualitative walking interviews has risen in recent years to delve into the construction, evolution, and negotiation mechanisms of migrant identities within everyday spatial practices. This novel mobile method emphasizes the interaction between micro-experience and macro-structure. It facilitates a shift away from viewing migrants as passive outsiders, empowering them with increased agency, and allow researchers to gain deeper insights into migrants’ emotional dynamics, life experiences, and self-identification within new social landscapes and power configurations. This systematic review aims to evaluate, integrate, and analyse the current empirical evidence in qualitative migration research using walking/go-along interviews for different types of migrants (defined as an individual who moves away from his or her place of usual residence, whether within a country or across an international border, temporarily or permanently, and for a variety of reasons). This review brings together for the first time the knowledge and insights from migration research that involves walking interviews. This review employs framework synthesis to analyse the 24 included articles, identifying five major themes: (1) synergising diverse research methods within different research designs; (2) adjustment of power dynamics; (3) migrants’ place-based threefold agency; (4) migrants' identity construction; (5) place-based sense of belonging or exclusion. By integrating these themes, the methodological contribution of this review lies in recognizing the advantages of combining walking interviews with other research methods, which lies in capturing the multidimensional aspects of mobility, allowing researchers to flexibly switch between methodological strategies and spatial scales. Additionally, this paper recommends a deeper exploration of migratory experiences to transcend prevailing practical knowledge and pay sensitive attention to potential ethical issues throughout the research. Such investigation has the potential to uncover the dynamic evolution of agency, identity construction, and the fluctuating sense of belonging among various migrants throughout their journey.

A High-Efficiency and Incentive-Compatible Peer-to-Peer Energy Trading Mechanism

Due to the rapid development of demand response management and distributed energy resources, prosumers are becoming more proactive, which also promotes the emergence of peer-to-peer (P2P) energy trading mechanisms. However, we find that it is quite difficult to simultaneously achieve high computational efficiency, decentralized operations and solution optimality in a P2P energy trading mechanism, which is called the “P2P energy trading trilemma”. In this paper, we first propose a novel negotiation mechanism for P2P energy trading that can maximize social welfare in a decentralized manner and respect physical network constraints. Then, the local optimization problem is transformed into a closed-form alternating update algorithm (AUA), so that the computational efficiency can be greatly improved. Therefore, our proposed mechanism solves the “P2P energy trading trilemma" to a certain extent. Another challenge is that the locational marginal price (LMP)-based market mechanism cannot satisfy the incentive-compatible property. To encourage prosumers to cooperate in a lack-of-trust environment, a novel incentive-compatible mechanism is proposed for P2P energy trading using consensus mechanism inspired by proof of solution (PoSo) and smart contract (SC). Finally, we simulate the functionality of the mechanism in terms of convergence performance, reliability, scalability, computational efficiency, and SC operations.

A negotiation model of individual matching and zonal-based travel behavior in carpooling

AbstractCarpooling is a sustainable and ecologically acceptable transportation mode. Individuals commonly engage in coordination and negotiation processes to find matching partners and typically modify their schedules to enable cooperation. Mutual cooperation between carpooling individuals plays an important role in executing trips. Through cooperation, participants can achieve challenging agreements effectively in a repetitive manner. This paper presents a negotiation mechanism that can match individuals for carpooling using organization and agent-based concepts. It describes a matching model and a carpooling social network. It studies several aspects of multi-zonal individual behavior to identify groups of carpooling candidates. The carpooling social network is simulated on an ongoing basis for each of the following carpooling activities: interaction, negotiation, and trip execution. The interaction process enables communication between individuals within carpooling social groups in order to activate the negotiation process. During the negotiation process, participants typically modify their schedules to support cooperation by considering their personal preferences and constraints. Negotiation leads to matching of individuals based on trip start times, driver selection, detour duration, and carpool group pickup and dropoff sequences. Trip start times are established on travel, social, financial, and schedule-related factors. The carpoolers’ pickup and dropoff sequences that are feasible for an optimal carpool group are projected using specific scoring methods. Carpooling community candidates are recognized via outcomes projected using the FEATHERS activity–based model. The framework is implemented through the Janus multi-agent system.

Supply chain coordination mechanisms of coal power enterprises under renewable energy quota system: A perspective of game analysis

The renewable energy quota system has become an important policy tool for countries around the world to solve the differences in renewable energy resource endowments between regions and promote the transformation of energy structure. How to coordinate the supply chain of power generation enterprises from the micro level of enterprises has become a key issue to ensure the implementation of renewable energy quota system. By constructing a game analysis model, this research studied the coordination game problem between the supply chain of coal power enterprises and renewable energy enterprises, and compared and analyzed the differences in decision-making between centralized and decentralized situations. The results illustrate that in the case of centralized decision-making, although renewable energy enterprises and coal power enterprises can guarantee profits and carbon emission reduction effects. However, in the real situation of independent rational economic man, it is difficult to ensure the real realization of centralized decision-making. Further, the research proposed that in the case of decentralized decision-making, the negotiation mechanisms of revenue sharing, cost allocation, and revenue sharing + cost allocation were used to solve the supply chain coordination problem of renewable energy enterprises and coal power enterprises. The equilibrium solution of the game model under different negotiation mechanisms is obtained. Finally, the results of theoretical analysis were verified by practical examples and the corresponding sensitivity analysis is carried out. The conclusion has decision-making reference value for solving the coordination problem between coal power enterprises and renewable energy enterprises, improving the overall income of supply chain and carbon emission reduction, and effectively promoting the implementation of renewable energy quota system.

A Qualitative Study on Leisure Benefits, Constraints, and Negotiations in Urban Parks Based on Perception of Chinese Older Adults

Urban parks, one of the most significant outdoor leisure areas, are particularly important for the physical and mental health of older adults. In order to investigate the benefits and constraints of leisure activities that older adults perceived in urban parks, as well as their negotiation mechanisms, this study was conducted using a qualitative method, interviewing 102 retired older adults aged 55 or older in Guangzhou, China, and using Rost CM 6.0 for word frequency analysis. The study findings indicated that due to the lack of age-friendly public leisure facilities in Guangzhou, Chinese older adults expressed multiple expectations regarding the benefits of urban parks, mainly in terms of physical, psychological, and social interaction, with physical benefits being their primary drivers. Leisure constraints can be intrapersonal, interpersonal, or structural. Older adults who visited parks and those who did not were affected by different levels of limitations, with the oldest people experiencing the most pronounced constraints. Older adults were able to access leisure opportunities through a variety of constraint negotiation strategies, including cognitive adaptability, spatiotemporal adaptation, interpersonal coordination, skill acquisition, and alternative leisure activities. The results of this study might assist related management departments in building more age-friendly parks based on the framework of the benefits and constraints of park recreation for older adults, in terms such as institutional design and planning to enhance the role of urban parks in healthy aging.