Strategic Behaviour When Allocating Indivisible Goods
Authors: Toby Walsh
AAAI 2016 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Theoretical | We survey some recent research regarding strategic behaviour in resource allocation problems, focusing on the fair division of indivisible goods. We consider a number of computational questions like how a single strategic agent misreports their preferences to ensure a particular outcome, and how agents compute a Nash equilibrium when they all act strategically. We also identify a number of future directions like dealing with non-additive utilities, and partial or probabilistic information about the preferences of other agents. |
| Researcher Affiliation | Collaboration | Toby Walsh UNSW and Data61 (formerly NICTA) Sydney, Australia toby.walsh@nicta.com.au |
| Pseudocode | No | The paper discusses various algorithms and their complexities but does not include any structured pseudocode or algorithm blocks. |
| Open Source Code | No | This is a survey paper and does not propose a new methodology; therefore, it does not provide access to open-source code for its own work. |
| Open Datasets | No | This is a survey paper and does not conduct empirical studies with datasets; therefore, it does not describe a training dataset. |
| Dataset Splits | No | This is a survey paper and does not conduct empirical studies; therefore, it does not describe validation dataset splits. |
| Hardware Specification | No | This is a survey paper and does not conduct original experiments; therefore, it does not specify hardware used. |
| Software Dependencies | No | This is a survey paper and does not conduct original experiments; therefore, it does not specify software dependencies. |
| Experiment Setup | No | This is a survey paper and does not conduct original experiments; therefore, it does not provide details on experimental setup. |