Environment-Driven Social Force Model: Lévy Walk Pattern in Collective Behavior
Authors: Danyan Lv, Zhaofeng Li, Yichuan Jiang
IJCAI 2015 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | 4 Simulation and Analysis, 4.2 Model Validation, In Figure 4, the frequency distributions of flight lengths is taken the logarithm and it can be found that the flight lengths comply with the power-law distributions, P(l) ~ l-ȝ, compared with the linear fitting lines. Simultaneously, an index R2 (coefficient of determination) is tested to estimate how well the simulation data fits the lines of the power-law distributions. We get ȝ = 2.04 with R2 = 0.95 when food density is 7% and ȝ = 2.94 with R2 = 0.92 at the food density of 12%. |
| Researcher Affiliation | Academia | Danyan Lv, Zhaofeng Li, Yichuan Jiang* Key Laboratory of Computer Network and Information Integration (Southeast University) of Ministry of Education, School of Computer Science and Engineering, Southeast University, Nanjing, China. |
| Pseudocode | No | The paper describes the model and decision processes in text and with equations, but does not include any explicitly labeled pseudocode or algorithm blocks. |
| Open Source Code | No | The paper does not contain any statement about releasing source code or provide links to a code repository. |
| Open Datasets | No | The paper states that 'the environment configuration accords with the real field data in the study of de Knegt et.al [2007]', suggesting parameters are derived from it. However, it describes a simulated environment ('The simulation space is presented by square field with 600 600 pixels and includes mp randomly distributed patches') and does not provide a link, DOI, or specific name for a publicly available dataset that was directly used as input for their simulations, nor does it specify how to access the 'real field data' beyond the citation. |
| Dataset Splits | No | The paper is based on simulation and does not describe training, validation, or test dataset splits in the conventional sense of partitioning a fixed dataset. |
| Hardware Specification | No | The paper does not provide specific details about the hardware (e.g., GPU models, CPU types, memory amounts) used for running the experiments. |
| Software Dependencies | No | The paper does not provide specific software dependencies, such as library names with version numbers, that would be needed to replicate the experiment. |
| Experiment Setup | Yes | The simulation space is presented by square field with 600 600 pixels and includes mp randomly distributed patches. The scale of agent group is ten... |