Schelling Games with Continuous Types
Authors: Davide Bilò, Vittorio Bilò, Michelle Döring, Pascal Lenzner, Louise Molitor, Jonas Schmidt
IJCAI 2023 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | Also, we present simulation results that compare our models and shed light on the obtained equilibria for our variants. |
| Researcher Affiliation | Academia | 1University of L Aquila, L Aquila, Italy 2Universtiy of Salento, Lecce, Italy 3Hasso Plattner Institute, University of Potsdam, Potsdam, Germany |
| Pseudocode | No | The paper describes algorithms and procedures in prose, such as in Theorem 1 and Theorem 3, but does not include structured pseudocode or algorithm blocks with formal labels. |
| Open Source Code | No | The paper does not provide any explicit statements about releasing source code for the described methodology or a link to a code repository. |
| Open Datasets | No | The paper describes its simulation environment as '8-regular toroidal grid graphs of size 50 50' and states 'Agent types and starting locations are chosen uniformly at random', but does not refer to a publicly available or open dataset with access information. |
| Dataset Splits | No | The paper describes using 'random initial states' and '100 runs from randomly chosen initial states' for simulations, but does not define specific training, validation, or test dataset splits. |
| Hardware Specification | No | The paper describes running simulation experiments but does not provide specific hardware details such as GPU models, CPU types, or memory specifications. |
| Software Dependencies | No | The paper does not provide specific software dependencies or version numbers for any libraries, frameworks, or solvers used in the experiments. |
| Experiment Setup | Yes | For our simulations, we consider 8-regular toroidal grid graphs of size 50 50 with a total of 2500 nodes and 10000 edges as a residential area. Agent types and starting locations are chosen uniformly at random and are the same if we compare different variants. For simulations of the jump versions, we use 2% uniformly random chosen empty nodes. |