Semantic Relativity Theory — Simulation Dataset and Scripts (v1.0)
收藏DataCite Commons2025-10-14 更新2026-02-09 收录
下载链接：
https://figshare.com/articles/dataset/Semantic_Relativity_Theory_Simulation_Dataset_and_Scripts_v1_0_/30351523/1
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资源简介：
This dataset accompanies the paper “Semantic Relativity Theory: An Information-Geometric Extension to Cognitive Gravity and Advertising Optimization” (v1.0). It contains all materials required to reproduce the AI-based simulations reported in the paper: the Python script, generated figures, and SHA256 checksum files.<br>Contents- simulation.py — main script to generate synthetic semantic scores for 200,000 virtual users, compute uplift U = 1 + α tanh(β S), and export figures.- Figures — ctr_comparison.png, uplift_histogram_sim.png, uplift_convergence.png.- Checksums — *.sha256 files for integrity verification.- README.md — environment and step-by-step instructions.<br>How to reproduce1) Python 3.9+ with NumPy, SciPy, Matplotlib (versions as in README).2) Verify integrity: `sha256sum -c .sha256`3) Run: `python simulation.py`<br>Distribution noteThis dataset supersedes the previous Zenodo record for long-term stability on figshare. Scientific content is unchanged; only citation/back-matter are updated.<br>How to cite (dataset)PSBigBig (2025). Semantic Relativity Theory — Simulation Dataset and Scripts (v1.0). figshare. https://doi.org/10.6084/m9.figshare.30351523<br>
提供机构：
figshare
创建时间：
2025-10-14
