Published in Information Processing & Management (IPM), 2026
We extend the Graph Model for Conflict Resolution (GMCR) with a linguistic preference framework that lets decision-makers express qualitative and uncertain judgements through natural-language hedges such as “more or less” and “roughly”, yielding more realistic equilibrium outcomes in stakeholder conflicts.
Published in Expert Systems with Applications (ESWA), 2025
We propose a hybrid model that combines linguistic feature selection with dual attention mechanisms to achieve state-of-the-art water quality prediction accuracy across spatiotemporal scales.
Published in Autonomous Agents and Multiagent Systems (AMMAS), 2025
This paper introduces a novel bottom-up reputation learning method to enhance cooperation in multi-agent reinforcement learning.
Published in Physical Review E (PRE), 2024
We show that intermediate interaction frequencies and localized synchronization enhance cooperation in social dilemmas by balancing engagement and inactivity and fostering cooperative clusters.
Published in International Joint Conference on Artificial Intelligence (IJCAI), 2024
This paper explores how agents can learn both interaction strategies and dilemma-solving tactics from their long-term experiences.
Published in IEEE Transactions on Evolutionary Computation (TEVC), 2023
We introduce an adaptive interaction mechanism using reinforcement learning to study how artificial agents self-organize and adapt their connections in social dilemmas.
Published in Applied Mathematics and Computation, 2023
This study explores the role of dynamic trustworthiness in promoting cooperation, focusing on strategy updates and cooperative cluster formation.
Published in Applied Mathematics and Computation, 2023
This study examines the evolution of cooperation in public goods games with dynamic resource allocation, emphasizing a fairness preference perspective.
Published in New Journal of Physics, 2023
The study explores cooperation evolution in dynamic resource allocation public goods games from a fairness preference standpoint.
Published in Journal of Cleaner Production, 2022
This paper aims to model individual interactions and incentive strategies for improving public awareness of household waste separation in China, using robust optimization techniques to account for uncertainty.
Published in Physica A: Statistical Mechanics and its Application, 2022
The study introduces a segregation strategy that prompts individuals to sever unfavorable ties in social networks, incurring some cost, and then randomly rewires cooperative individuals.
Published in Chaos, Solitons & Fractals, 2021
We propose a tolerance-based expulsion mechanism in a social game, which triggers expulsion when the number of defectors exceeds a tolerance threshold.
Published in Applied Mathematics and Computation, 2021
The paper investigates how dynamic cost and individual ability-to-pay affect cooperation when using social exclusion as a sanction in a public goods game.
Published in Chaos: An Interdisciplinary Journal of Nonlinear Science, 2021
This study employs a game model with a social exclusion mechanism to drive low-carbon technology collaboration in industrial clusters.