New Conflict Analysis Models Identify Feasible Strategies Using Weighted Consistency Measures

Global: New Conflict Analysis Models Identify Feasible Strategies Using Weighted Consistency Measures

Researchers introduced a novel framework for three-way conflict analysis that emphasizes the formulation of feasible strategies, addressing a gap in existing literature. The study was posted on arXiv in December 2025 and focuses on evaluating agent cliques using weighted consistency and non‑consistency measures to guide conflict resolution. The approach aims to improve both the identification and optimization of strategies in complex negotiations. Demonstrations include applications to NBA labor negotiations and development planning for Gansu Province in China.

Methodology

The authors compute an overall rating for a clique of agents by aggregating positive and negative similarity degrees, providing a quantitative basis for assessing group dynamics.

Weighted Consistency Measures

Building on the rating, weighted consistency and non‑consistency metrics are defined, incorporating the relative importance of both agents and issues to differentiate viable from non‑viable strategic options.

Algorithmic Identification

Algorithms are presented to identify feasible strategies, L‑order feasible strategies, and the corresponding optimal solutions, enabling systematic exploration of the strategy space.

Case Studies

The framework is applied to two illustrative scenarios: collective bargaining in the NBA and a development plan for Gansu Province. Sensitivity analyses examine how parameter variations affect outcomes.

Comparative Performance

Results are compared with existing conflict analysis approaches, with the authors reporting superior performance in unifying weighted agent‑issue evaluation with consistency metrics.

Implications

The study suggests that integrating weighted consistency measures can enhance the systematic identification of feasible and optimal strategies across diverse negotiation contexts.

This report is based on information from arXiv, licensed under Academic Preprint / Open Access. Based on the abstract of the research paper. Full text available via ArXiv.