Trading on a Rigged Game: Outcome Manipulation in Prediction Markets
Authors: Mithun Chakraborty, Sanmay Das
IJCAI 2016 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Theoretical | We propose a new game-theoretic model that captures two aspects of real-world prediction markets: (1) agents directly affect the outcome the market is predicting, (2) some outcome-deciders may not participate in the market. We show that this game has two types of equilibria |
| Researcher Affiliation | Academia | Washington University in St. Louis {mithunchakraborty,sanmay}@wustl.edu |
| Pseudocode | No | The paper describes a game-theoretic model and its analysis but does not include any pseudocode or clearly labeled algorithm blocks. |
| Open Source Code | No | The paper does not contain any statement about releasing source code for the described methodology, nor does it provide a link to a code repository. |
| Open Datasets | No | The paper is theoretical and does not use or provide access information for any publicly available or open datasets for training or evaluation. |
| Dataset Splits | No | The paper is theoretical and does not involve empirical experiments with data, thus it does not provide details on training, validation, or test dataset splits. |
| Hardware Specification | No | The paper is theoretical and does not describe running experiments; therefore, it does not provide any specific hardware specifications. |
| Software Dependencies | No | The paper is theoretical and does not describe any implemented system or experiments that would require specific software dependencies with version numbers. |
| Experiment Setup | No | The paper is theoretical and models a game, but it does not describe an empirical experimental setup with concrete hyperparameter values or training configurations. |