A multi-agent system for indirect reciprocity with optional interaction

Indirect Reciprocity (IR) is the main mechanism to promote cooperation. A multi-agent system is proposed in this paper to simulate IR with optional interactions so that more specific experiments could be carried out. Comparative experimental results verify the rationality and feasibility of the simulation model structure, and more parameters’ effects on the optional IR are further analyzed.

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Publication Details

Published
2024-09-27
DOI
https://doi.org/10.1117/12.3049230
Primary Topic
Scheduling and Optimization Algorithms
Type
article
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article

A multi-agent system for indirect reciprocity with optional interaction

Jiahui Wu, Shili Luo, Yingfeng Yu, Tingwen Chen et al.
Scheduling and Optimization Algorithms
article

A multi-agent system for indirect reciprocity with optional interaction

Jiahui Wu, Shili Luo, Yingfeng Yu, Tingwen Chen, Yanru He
article en

Abstract

Indirect Reciprocity (IR) is the main mechanism to promote cooperation. A multi-agent system is proposed in this paper to simulate IR with optional interactions so that more specific experiments could be carried out. Comparative experimental results verify the rationality and feasibility of the simulation model structure, and more parameters’ effects on the optional IR are further analyzed.

Shanghai University (CN)
Openalex Percentile: Top 77%
Scheduling and Optimization Algorithms
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A multi-agent system for indirect reciprocity with optional interaction — Jiahui Wu, Shili Luo, et al. · (2024) | TGRS Research Map | TGRS