Reputation-Aware Continuous Double Auction
Authors: Yuan Liu, Jie Zhang, Han Yu, Chunyan Miao
AAAI 2014 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Theoretical | Theoretical analysis proves that RCDA is effective in eliciting truthful bids from buyers and sellers in the presence of possible dishonest behavior from both buyers and sellers. |
| Researcher Affiliation | Academia | Yuan Liu Jie Zhang Han Yu Chunyan Miao School of Computer Engineering Nanyang Technological University, Singapore |
| Pseudocode | No | The paper describes the mechanism using natural language and mathematical equations, but it does not contain structured pseudocode or algorithm blocks. |
| Open Source Code | No | The paper does not provide any concrete access to source code, nor does it mention that code is released or available. |
| Open Datasets | No | The paper is theoretical and does not mention the use of any datasets for training, validation, or testing, nor does it provide access information for any public or open datasets. |
| Dataset Splits | No | The paper is theoretical and does not involve empirical validation with datasets, therefore it does not provide specific dataset split information for validation. |
| Hardware Specification | No | The paper focuses on theoretical analysis and does not describe any specific hardware used for experiments. |
| Software Dependencies | No | The paper is theoretical and does not provide details about specific ancillary software or library versions needed for replication. |
| Experiment Setup | No | The paper is theoretical and does not describe an experimental setup, hyperparameters, or training configurations. |