Collusion-Proof and Sybil-Proof Reward Mechanisms for Query Incentive Networks
Authors: Youjia Zhang, Pingzhong Tang
AAAI 2023 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | Additionally, we show experimentally that our second reward mechanism outperforms the existing ones. Additionally, we show experimentally that our second reward mechanism outperforms the existing ones. Finally, our numerical experiments indicate that our second reward mechanism performs better than the existing ones. In this section, we begin by empirically evaluating the performance of GCRM in terms of Sybil-proofness and collusion-proofness. Next, we compare GCRM with TDGM. |
| Researcher Affiliation | Academia | Youjia Zhang, Pingzhong Tang IIIS, Tsinghua University zhangyou19@mails.tsinghua.edu.cn, kenshinping@gmail.com |
| Pseudocode | No | The paper defines mechanisms using mathematical equations (Mechanism 1, Mechanism 2), but it does not include any structured pseudocode or algorithm blocks. |
| Open Source Code | No | The paper does not provide any statement or link indicating that the source code for the described methodologies is publicly available. |
| Open Datasets | No | The paper describes theoretical models and conducts numerical evaluations of these models' properties. It does not refer to any specific real-world or synthetic dataset that is publicly available for training or evaluation. |
| Dataset Splits | No | The paper does not describe the use of any datasets, and therefore, no training, validation, or test splits are mentioned. |
| Hardware Specification | No | The paper does not provide any specific details about the hardware used to conduct the numerical experiments, such as CPU, GPU models, or memory specifications. |
| Software Dependencies | No | The paper does not mention any specific software dependencies, libraries, or their version numbers used for the numerical experiments. |
| Experiment Setup | Yes | To keep consistency, we restrict the parameter ρ to ensure that all three mechanisms are ρ-split (αDGM = ρ 1+ρ, δ = ρ, and αGCRM = 1+4ρ 1 2 ). |