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Posts by Collection
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publications
Low-carbon technology collaborative innovation in industrial cluster with social exclusion: An evolutionary game theory perspective
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.
The emergence and implementation of pool exclusion in spatial public goods game with heterogeneous ability-to-pay
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.
Evolutionary dynamics in the spatial public goods game with tolerance-based expulsion and cooperation
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.
Evolution of cooperation in public goods games with segregated networks and periodic invasion
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.
Incentive strategy models of household waste separation based on cost uncertainties: A perspective of social networks
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.
Evolution dynamics with the switching strategy of punishment and expulsion in the spatial public goods game
Published in New Journal of Physics, 2023
The study explores cooperation evolution in dynamic resource allocation public goods games from a fairness preference standpoint.
Evolution of Cooperation in Public Goods Games with Dynamic Resource Allocation: A Fairness Preference Perspective
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.
Promoting Cooperation through Dynamic Trustworthiness in Spatial Public Goods Games
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.
Reputation-based Interaction Promotes Cooperation with Reinforcement Learning
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.
Enhancing Cooperation through Selective Interaction and Long-term Experiences in Multi-Agent Reinforcement Learning
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.
Temporal Interaction and its Role in the Evolution of Cooperation
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.
Bottom-Up Reputation Promotes Cooperation with Multi-Agent Reinforcement Learning
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.
Feature-driven Hybrid Attention Learning for Accurate Water Quality Prediction
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.
A Linguistic Preference Framework for the Graph Model for Conflict Resolution with Application to Water Resource Disputes
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.
talks
Talk 1 on Relevant Topic in Your Field
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Conference Proceeding talk 3 on Relevant Topic in Your Field
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teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
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Teaching experience 2
Workshop, University 1, Department, 2015
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