Conflict Resolution Model Research Articles

Route-based Train Conflict Resolution Model Extended from Alternative Graph

Route-based Train Conflict Resolution Model Extended from Alternative Graph

Merenden Tedong di Mamasa: Integrasi Pendekatan Struktural dan Kultural dalam Memitigasi Konflik Sosial Keagamaan

The Mamasa community has the Merenden Tedong tradition which is rooted in customary law as an effective conflict resolution model in resolving social problems. This tradition is deeply rooted and has become a unique cultural icon in overcoming social challenges and conflicts in society. The integration of this traditional approach with a formal approach from the government has strengthened the mechanism for mitigating socio-religious conflict in social life. This article aims to describe the integration between two conflict resolution models, namely the cultural approach through customary law and the structural approach through government policy, as an effort to mitigate socio-religious conflict in Mamasa. This research used a phenomenological analysis approach involving in-depth interviews. Informants consisted of traditional leaders, community leaders, government officials and community members to gain a comprehensive understanding of the Merenden Tedong tradition as a model for conflict resolution. This research found that the integration of cultural and structural approaches in the Merenden Tedong tradition contributed significantly to mitigating social and religious conflict. Collaboration between traditional institutions and the government strengthened the role of customary law in conflict prevention, proving that an integrative approach is more effective than a unilateral model. Further research is recommended to explore the role of the younger generation in maintaining the identity of Pitu Ulunna Salu as a conflict mitigation strategy. Keywords: Merenden Tedong, Conflict Resolution, Integrative Approach, Mamasa

Stakeholder-based management of ecosystem services in agricultural areas: Integrating the leader-follower game and a conflict resolution model

Given the substantial effects of agricultural practices on the environment, this paper introduces a novel stakeholder-based framework for assessing the ecosystem services (ESs) provided by agricultural areas. Ecosystem services include essential functions such as water supply, food production, carbon storage, soil erosion control, and habitat support. In addition to ESs, water footprint is also taken into account to evaluate the impacts of agricultural activities on water resources. Some of the mentioned ESs are assessed using the Soil and Water Assessment Tool (SWAT). Then, by extending and combining the Conflict Resolution Model with the Composition of Probabilistic Preferences (CRMCPP) method and the leader-follower game (LFG), while considering the hierarchical structure of decision-makers, the best scenario for enhancing the ESs is selected.The Zarrinehroud River Basin (ZRB) in Iran has been chosen as a case study to evaluate the performance of the proposed framework, as this basin is vital for supplying water to Lake Urmia, the largest hypersaline lake in the Middle East. In this paper, 16 Water and Environmental Resources Management (WERM) scenarios have been defined according to the Urmia Lake Restoration National Committee (ULRNC) projects. Then, the mentioned ESs have been evaluated under different WERM scenarios. Ultimately, by utilizing the CRMCPP-LFG method and taking into account the hierarchical structure of decision-makers, we can identify the optimal WERM scenario. The criteria for making this decision include various factors, such as ecosystem services and the costs involved in implementing the WERM scenarios. In the selected scenario, the average water inflow into Lake Urmia is projected to rise to 1329 million cubic meters per year, which is 6.3% more than the average inflow in the current condition. Key initiatives in this scenario include reducing cultivated areas, altering irrigation methods, changing crop patterns, and incorporating water-efficient plant species.

Priority-based intelligent resolution method of multi-aircraft flight conflicts

Abstract The rising demand for air traffic will inevitably result in a surge in both the number and complexity of flight conflicts, necessitating intelligent strategies for conflict resolution. This study addresses the critical challenges of scalability and real-time performance in multi-aircraft flight conflict resolution by proposing a comprehensive method that integrates a priority ranking mechanism with a conflict resolution model based on the Markov decision process (MDP). Within this framework, the proximity between aircraft in a multi-aircraft conflict set is dynamically assessed to establish a conflict resolution ranking mechanism. The problem of multi-aircraft conflict resolution is formalised through the MDP, encompassing the design of state space, discrete action space and reward function, with the transition function implemented via simulation prediction using model-free methods. To address the positional uncertainty of aircraft in real-time scenarios, the conflict detection mechanism introduces the aircraft’s positional error. A deep reinforcement learning (DRL) environment is constructed incorporating actual airspace structures and traffic densities, leveraging the Actor Critic using Kronecker-factored Trust Region (ACKTR) algorithm to determine resolution actions. The experimental results indicate that with 20–30 aircraft in the airspace, the success rate can reach 94% for the training set and 85% for the test set. Furthermore, this study analyses the impact of varying aircraft numbers on the success rate within a specific airspace scenario. The outcomes of this research provide valuable insights for the automation of flight conflict resolution.

A risk-based model for human-artificial intelligence conflict resolution in process systems

The conflicts stemming from discrepancies between human and artificial intelligence (AI) in observation, interpretation, and action have gained attention. Recent publications highlight the seriousness of the concern stemming from conflict and models to identify and assess the conflict risk. No work has been reported on systematically studying how to resolve human and artificial intelligence conflicts. This paper presents a novel approach to model the resolution strategies of human-AI conflicts. This approach reinterprets the conventional human conflict resolution mechanisms within AI. The study proposes a unique mathematical model to quantify conflict risks and delineate effective resolution strategies to minimize conflict risk. The proposed approach and mode are applied to control a two-phase separator system, a major component of a processing facility. The proposed approach promotes the development of robust AI systems with enhanced real-time responses to human inputs. It provides a platform to foster human-AI collaborative engagement and a mechanism of intelligence augmentation.

Graph Model for Conflict Resolution With Internal Consensus Reaching and External Game

Graph Model for Conflict Resolution With Internal Consensus Reaching and External Game

Exploring the minimum cost conflict mediation path to a desired resolution within the inverse graph model framework

The existing inverse graph model for conflict resolution (GMCR) research primarily concentrates on identifying the required preferences of decisions makers (DMs) such that a desired state is an equilibrium. However, the process of transitioning from the current state to the desired equilibrium is not explored. In this paper, we propose a minimum adjustment cost model taking account of preference adjustment costs to identify the required preferences for a desired state to be an equilibrium. Subsequently, we introduce the concept of transition costs for the first time to quantify expenses involved in guiding a DM transition from one state to another and develop a minimum cost conflict mediation path model. This model aims to identify the most efficient path that minimizes the cost of transitioning from the current state to the desired equilibrium. Moreover, to accommodate the consideration of multiple desired equilibria, we extend the minimum cost conflict mediation path model to analyze and determine the optimal path for transitioning from the current state to one of the identified desired equilibria with the overall minimum cost. Furthermore, to address uncertainty surrounding transition costs, we formulate a probability maximizing conflict mediation path model that considers a limited budget available for the mediation process. Finally, a real-world dispute, the fracking conflict in the province of New Brunswick, Canada, is utilized to demonstrate the application of the proposed models.

Interrelationships of Non-cooperative, Classical and Pareto Coalitional Stability Definitions

Theorems are established on the interrelationships among non-cooperative, classical and Pareto coalitional stability definitions within the framework of the graph model for conflict resolution. The classical coalition stability concepts are first redefined and then, based on the concept of Pareto coalition improvement, new definitions are proposed for Pareto coalition Nash, Pareto coalition general metarational, Pareto coalition symmetric metarational, and Pareto coalition sequential stability. Relations among Pareto coalition stability definitions, earlier coalition stability definitions, and non-cooperative analogues are explained. The practical applicability of these stability definitions is illustrated through their application to a real-world conflict, a 2014 offshore oil exploration dispute in the South China Sea. The equilibrium results confirm the theoretical validity of the new definitions, and show that valuable insights that can be garnered using the Pareto coalition stability approach.

The Promise and Failure of Israeli-Palestinian Peace Process in 1990s: A Literature Review

In 2023, the world marked 30 years since the start of the Oslo process, which sought to resolve the Israeli-Palestinian conflict. Given the ultimate breakdown of these negotiations, it is crucial to examine the evolution of academic research on this process, identifying its key themes and trends. This literature review focuses on both empirical and theoretical studies of the Oslo process, with a particular emphasis on research that investigates the reasons behind its failure. Such studies provide valuable insights for developing more effective models of negotiation and conflict resolution. Initially, the commencement of the Oslo negotiations was met with optimism in the academic community, with scholars highlighting the pivotal role of individual leaders in successfully launching the process. However, as the peace process faltered, the Israeli-Palestinian negotiations were analyzed through existing theoretical frameworks. Various scholars critically examined the Oslo Accords from the perspective of international law and highlighted economic factors that obstructed the path to a lasting peace. Other studies explored indirect influences on the peace process, such as public opinion and electoral dynamics, often employing Robert Putnam's “two-level games” theory. Nevertheless, these studies mainly address the immediate causes of the peace process’s failure and do not fully account for the underlying motivations driving the behavior of actors in the negotiations. Research into the deeper causes of the Oslo process’s collapse has highlighted socio-psychological barriers, such as the “conflict syndrome” and issues of ontological security. Scholars have investigated the roles of historical memory, collective trauma, and cultural identities in shaping negotiation outcomes. The rise of interdisciplinary approaches—combining insights from psychology, philosophy, and linguistics—has been essential for understanding the complex dimensions of this conflict. The diverse body of research and theories inspired by the Oslo peace process continues to influence the field of negotiation and conflict resolution studies, underscoring the enduring significance of this critical episode in diplomatic history.

Investigation of Aircraft Conflict Resolution Trajectories under Uncertainties.

As air traffic intensity increases and stochastic uncertainties, such as wind direction and speed, continue to impact air traffic controllers' workload significantly, airlines are increasingly pressured to reduce costs by flying via straighter/more direct trajectories. Due to these changes, it is important to search for new means/solutions for aircraft conflict resolution to ensure the required level of safety and rational flight trajectory. Such a solution could be the implementation of Dubin's method of flight trajectories. This paper aims to propose and deeply analyze a new mathematical model for two-aircraft conflict resolution where the Dubins method is applied in a dynamic conflict scenario. In this model, at a certain moment, the flight trajectory of one aircraft follows a path similar to a moving circle's tangential line. Upon that, the conflict detection and resolution (CDR) model considers wind uncertainty. The proposed CDR method could be applied when uncertainty such as wind direction and speed are inconstant (stochastic) throughout the simulation.

The fuzzy graph model for conflict resolution considering power asymmetry based on social trust network

Conflicts are widespread in all spheres of society, and power asymmetries between conflicting actors are becoming more pronounced. However, the underlying causes of this asymmetry are often overlooked. To objectively reveal the fundamental reasons for power asymmetry, this paper utilizes Social Trust Networks (STN) to calculate decision-makers’ (DMs) weights. To further investigate the complex phenomenon of power asymmetry and accurately describe the inherent fuzziness in DMs’ subjective judgments, two multiple decision-makers (multi-DMs) power asymmetry models based on fuzzy preferences are constructed: one with a leader, a subordinate leader, and a follower, and the other with a leader and two followers. In response to the issue of neglecting power intensity differences in previous research, this paper provided an in-depth discussion of the effects of different degrees of power on the adjustment of followers’ preferences. On this basis, the stability definitions were extended to fuzzy power asymmetry conditions. Finally, this paper presented a case study on business operation conflicts in commercial banks and drew conclusions based on the analysis.

Complexity Analysis Using Graph Models for Conflict Resolution for Autonomous Ships in Complex Situations

Abstract Maritime autonomous surface ships (MASSs) will reshape the fast-evolving ecosystem for their attractive socio-economic benefits and potential to improve safety. However, their new systems and technology need thorough verifications to identify unintended components of risk. The interaction between MASS cyber-physical systems and the existing regulatory framework is currently unpredictable; artificial intelligence-powered intelligent situation awareness and autonomous navigation algorithms must safely and efficiently adhere to the regulations which are only designed for human interpretation without MASSs consideration. This paper contributes to algorithmic regulations and particularly algorithmic COLREGs in real-world MASS applications. It focuses on codifying COLREGs into a machine-executable system applicable to MASSs, then analyzing their performance in dynamic and mixed interactions between multiple vessels in complex scenarios. Based on fullest pairwise COLREGs criteria, this paper considers decision-making (DM) and complexity analysis in multi-collision-conflict scenarios. Complexity influential factors are an interplay between the characteristics of COLREGs, traffic scenarios, MASS interactions, and the environment. Participant vessels are the decision-makers forming a decentralized uncertain DM process, casted into a multi-participant multi-conflict multicriteria DM problem. This is tackled through the technique of graph models for conflict resolution, using risk graph models and fuzzy preferences over alternative collision-avoidance states. This paper conducts a comprehensive analysis of DM and navigational complexity; we develop novel complexity estimation scores, tools for complexity monitoring for human intervention, and spatial analysis of traffic complexity for geo-intelligent MASSs deployment and operation planning. The presented work is validated on a database of historical scenarios extracted from multiple data sources.

Graph model for conflict resolution with hybrid information based on prospect theory and PROMETHEE method and its application in water resources conflict

Water resources are crucial for national economic growth, but industrial development has led to severe pollution, sparking conflicts between government and enterprises over their responsibilities. Addressing these water pollution conflicts is urgent. The Graph Model for Conflict Resolution (GMCR) offers a simple and logical approach to analyzing such conflicts with minimal data. However, current models overlook decision makers’ (DMs) heterogeneity, bounded rationality, and the theoretical foundation for preference ranking. To overcome these limitations, this study integrates hybrid information to account for DMs’ diverse knowledge and experience. Prospect theory is employed to capture DMs’ bounded rationality, enhancing the accuracy of decision outcomes. The PROMETHEE method is introduced for preference ranking during GMCR modeling, guided by multi-attribute decision-making (MADM) theory. Additionally, the four basic stability concepts are redefined and proven, expanding GMCR’s theoretical applications. Finally, a case study of the Huangshui River water conflict and the comparative analysis demonstrate the model’s validity and advantages.

Resolving sustainable development conflicts caused by vinyl leakage accidents in the USA: From the perspective of graph model under fuzzy preferences with self-confidence

On February 3, 2023, a railroad accident led to the release and combustion of 115,580 gallons of vinyl chloride monomer in East Palestine, Ohio, USA. The large leakage and long-time combustion of vinyl chloride monomer harmed the stability of local sustainable ecosystems and the health of residents, as the burning produced deadly toxins, triggering dissatisfaction from residents and environmental protection organizations. With the COVID-19 pandemic still unfolding globally, decision makers (DMs) in vinyl chloride leakage accidents must consider the existing environmental health uncertainty, potentially leading to uncertainty in their preference cognitive. Thus, this paper proposes a novel fuzzy preference with a self-confidence structure of the graph model for conflict resolution (GMCR) to resolve the sustainable development conflicts caused by the vinyl chloride leakage accident in Ohio. Fully considering the uncertainty of option choice by DMs and the different levels of confidence in DMs’ preference selection, four different fuzzy stability definitions of self-confidence are defined in GMCR. The analysis results suggest the following: (1) During conflicts, the US Norfolk Southern Corp should assume corporate responsibility by setting up a health monitoring system for residents in Ohio; the company should pay for the medical examinations and related care expenses for residents within the scope of the vinyl chloride leakage accident. (2) The negotiation of all stakeholders in conflicts can promote reconciliation. Finally, the analysis process and results of this study can provide guidance to government departments for properly handling major accidents and appeasing affected residents.

Multi-Attribute evaluation-based graph model for conflict resolution considering heterogeneous behaviors

The graph model for conflict resolution (GMCR) is a useful tool for modeling and analyzing conflicts. In a conflict, the decision maker (DM)’s evaluation of feasible states is often influenced by multiple attributes. When in different feasible states, DMs may assign different importance to each attribute. Therefore, this paper applies multi-attribute evaluation (MAE) to GMCR and proposes the MAE-based stability definition. In addition, due to differences in relationships and opinions among DMs, opponents will behave differently in response to the action of the focal DM. To analyze the heterogeneous behavior of opponents, this paper proposes a heterogeneous behavior analysis method based on social network analysis (SNA) and opinion similarity. Then, the MAE-based mixed stability definitions are proposed to perform the stability analysis considering heterogeneous behaviors. Finally, this paper applies the proposed method to the Elmira contamination conflict and makes a sensitivity analysis to prove the validity of the proposed method.

Communal dialogue and peacebuilding education in volatile terrain: A study of the volatile African region

This article evaluates the adoption of communal dialogue as an education tool for peace building in volatile terrain in Africa, using Benue State, North-Central Nigeria, as a case in point. Benue State has, in the last eight years, been known for constant communal clashes. This article looks at ways to adopt a valid model of conflict resolution to end this struggle. The yearly uproar arising in this region as residents live in constant fear calls for concern. This inquiry collated churns of research using secondary data together with a survey to ensure a tangible solution was proffered. All the local governments in this region were selected, especially where there are consistent struggles, interferences of herdsmen, and insecurities. About 363 copies of the questionnaires were distributed among residents living in this region. The aim is to generate data bordering on peace building education initiatives, as regular conflicts have rampaged this region for over a decade. Expected findings will focus on the best model that can tackle insecurity appropriately. The study's findings show that all the respondents agreed that they see communal dialogue approaches employed as viable tools for peacebuilding education in the region. Important to note is the need to consider the peculiarities of this region. It is crucial to leverage frameworks that best suit this struggle, considering peculiarities in these regions as seen in similar areas in different parts of the world today. We therefore recommend that communal dialogue approaches be properly employed to restore lasting peace.

The influence of externality in the graph model for conflict resolution under fuzzy preferences

The Graph Model for Conflict Resolution (GMCR) is a flexible and comprehensive methodology for systematically investigating strategic conflicts. However, most existing studies solely focus on internal conflicts among decision makers (DMs), often disregarding the influence of external stakeholders (ESs) on DMs’ preferences. Consequently, this leads to insufficient stability in equilibrium outcomes. The objective of this study is to address the conflict issue faced by DMs with subjective uncertain preferences who are influenced by externality. Building upon the framework of GMCR, this study proposes the graph model for conflict resolution with fuzzy preference based on externality (FEGMCR) which introduces fuzzy numbers to measure both uncertain preferences of DMs and uncertain expectations of ESs. Furthermore, four forms of stability are extended-- Fuzzy Nash Stability based on externality (FER), Fuzzy General Metarationality based on externality (FEGMR), Fuzzy Symmetric Metarationality based on externality (FESMR), and Fuzzy Sequential Stability based on externality (FESEQ). The optimal equilibrium is achieved by dynamically adjusting the weight of the impact of externalities. Finally, the method is applied to the case of plastic ban in Hainan. It is found that the expectations of ESs do change the preferences of DMs and affect the final equilibrium, which provides a sustainable solution for the issue.

Conflict resolution in the customary village governance administration of Baduy, Tengger, and Samin ethnic groups in Indonesia

In Indonesia, the village government organization is part of local democracy. This includes the local democracy in indigenous villages. Indigenous villages have their own customary rules for implementing village elections. They have their own conflict resolution systems in implementing the village government. The implementation of the indigenous village governance leaves conflicts. So, there is a need for a suitable model for resolving problems in the implementation of village elections. The method used in this research is the qualitative research method with the juridical empirical approach. The locus of this research is in the Baduy, Tengger, and Samin indigenous village communities. The conflict resolution model in the administration of the Baduy, Tengger, and Samin customary villages differs in the right mechanism, but in substance, the resolution model is the same, as they use a deliberation model for consensus. In resolving conflicts, indigenous peoples fully submit to traditional leaders. The provincial and the regency/city governments are expected to give greater attention to the conditions of villages with customary government characteristics.

Waters of Contention: The GERD and Its Impact on Nile Basin Cooperation and Conflict

The Grand Ethiopian Renaissance Dam (GERD) on the Nile River has become a focal point in the fields of water diplomacy, economics, and environmental considerations in the Nile Basin. Announced during the Arab Spring in 2011, the GERD aims to address Ethiopia’s significant energy shortfall and foster regional economic growth by potentially doubling the country’s electricity output. However, this ambition has heightened tensions with downstream countries, especially Egypt and Sudan, which rely heavily on the Nile for their water needs. This paper examines the ongoing conflict surrounding the GERD, focusing on the deadlock situation despite considerable scholarly attention to its economic, political, and environmental dimensions. The analysis presented in this paper reveals the roots of contention by analyzing past treaties and the present negotiation status, illustrating the complex interplay between development goals, environmental sustainability, and regional water security. The paper advocates for a revised legal framework that moves beyond past agreements towards a more inclusive, cooperative management strategy for the Nile’s waters. It proposes the development of a new treaty between Egypt, Ethiopia, and Sudan, grounded in their 2015 Declaration of Principles agreement and inspired by successful international dispute resolutions. It also discusses the potential of neutral third-party interventions to facilitate unbiased negotiations grounded in the Graph Model for Conflict Resolution, emphasizing the importance of equitable and sustainable water governance. In essence, this research calls for a collaborative approach to resolve the GERD conflict, emphasizing the need for agreements that harmonize developmental ambitions with the water security of the Nile Basin nations. .

A Model of Natural Resources Conflict Resolution in Kalimantan Tengah Using The Dayak Hinting Pali Custom Ritual

As a result of neglecting environmental damage and other impacts, of course, this has created conflicts over natural resources between indigenous Dayak communities and companies operating in Central Kalimantan. In dealing with environmental disputes, the community continues to look for a way out through various settlement efforts made in the context of fighting for community justice and environmental justice. One of the alternatives used by the Dayak customary law community in Central Kalimantan when the law or formal process is constrained or stalled in dealing with conflicts between the community and the company is by empowering the Hinting Pali. This research is legal research using a conceptual approach. The legal materials used were secondary and tertiary legal materials which were analyzed using an analytical description. Based on the results of the research, the meaning and essence of Hinting Pali are based on the perspective of kaharingan religious rituals (such as hintingidentical to the Tiwah traditional ceremony) and based on the point of view of hinting as an effort to defend land rights for indigenous Dayak people, hinting has experienced a change in meaning to the era of penetration of oil palm plantations in Central Kalimantan. The Dayak customary ritual Hinting Pali empirically in Central Kalimantan is used as an alternative model for resolving natural resource conflicts. Several cases of conflict between the community and the company have used hinting pal as a means for the company to comply and resolve the problem with the community. From the explanation above, it can be concluded that empirically the Dayak Hinting Pali in Central Kalimantan is used as an alternative model of conflict resolution involving land, natural resources, and customary forests.