Exchange of Indivisible Objects with Asymmetry
Authors: Zhaohong Sun, Hideaki Hata, Taiki Todo, Makoto Yokoo
IJCAI 2015 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Theoretical | We first provide a general impossibility result for agents preferences that are determined in an additive manner, and then show an existence of such an exchange rule for further restricted lexicographic preferences. We finally find that for the restricted case, a previously known equivalence between the single-valuedness of the strict core and the existence of such an exchange rule does not carry over. |
| Researcher Affiliation | Academia | Graduate School of Information Science and Electrical Engineering Kyushu University, Japan Email: {sun@agent., todo@, yokoo@}inf.kyushu-u.ac.jp Graduate School of Information Science Nara Institute of Science and Technology, Japan Email: hata@is.nast.jp |
| Pseudocode | Yes | Deļ¬nition 3. Apply the TTC procedure for each submarket H1, . . . , Hm 1. For the least prioritized submarket Hm, use the following procedure: Initialization: Create a queue of the agents... Step t( 1): If no agent remains in the market, then the procedure terminates... |
| Open Source Code | No | No mention of open-source code availability or repository links. |
| Open Datasets | No | The paper describes theoretical results and proofs; it does not involve empirical experiments with data. |
| Dataset Splits | No | The paper describes theoretical results and proofs; it does not involve empirical experiments with data. |
| Hardware Specification | No | The paper describes theoretical results and proofs; it does not mention specific hardware used for experiments. |
| Software Dependencies | No | The paper describes theoretical results and proofs; it does not mention specific software dependencies with version numbers for replication. |
| Experiment Setup | No | The paper describes theoretical results and proofs; it does not include details about an experimental setup, hyperparameters, or training configurations. |