Implementing the Wisdom of Waze
Authors: Shoshana Vasserman, Michal Feldman, Avinatan Hassidim
IJCAI 2015 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Theoretical | The paper focuses on mathematical modeling, definitions (e.g., Bayes Nash Equilibrium, Mediation Ratio), and proofs (e.g., Revelation Principle, lemmas, theorems) related to game theory and network routing. There are no sections describing empirical studies, datasets, experimental results from data analysis, performance metrics, or comparisons on real-world or simulated data in the way typical for experimental research. |
| Researcher Affiliation | Academia | Shoshana Vasserman Harvard University svasserman@fas.harvard.edu Michal Feldman Tel Aviv University michal.feldman@cs.tau.ac.il Avinatan Hassidim Bar Ilan University avinatanh@gmail.com |
| Pseudocode | No | The paper contains mathematical formulations and proofs, but no pseudocode or algorithm blocks. |
| Open Source Code | No | The paper does not mention or provide any links to open-source code for the described methodology. |
| Open Datasets | No | As a theoretical paper, it does not involve training data or publicly available datasets for empirical experiments. |
| Dataset Splits | No | As a theoretical paper, it does not describe data splits for validation or other experimental phases. |
| Hardware Specification | No | As a theoretical paper, there is no mention of specific hardware used for running experiments. |
| Software Dependencies | No | As a theoretical paper, there is no mention of specific software dependencies or their versions. |
| Experiment Setup | No | As a theoretical paper, it does not describe an experimental setup with hyperparameters or system-level settings. |