Tutorial: Using QOD/OII Metrics in Python
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| Title: | Tutorial: Using QOD/OII Metrics in Python |
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| Authors: | Tan, Kwan Hong, orcid:0009-0003-9276- |
| Publisher Information: | Zenodo |
| Publication Year: | 2025 |
| Collection: | Zenodo |
| Subject Terms: | Philosophy, Contemporary philosophy, Modern philosophy, ethics and religion, Metaphysics, Metaphysics/history, Ontology, Ontological Instability, Fluctuational Epistemology, Fluctuation Intensity, Correlation Dynamics, Phase Transition Probability, Emergence Potential, Ethical Responsivity, Quantitative Ontological Dynamics, QOD, Ontological Instability Index, OII, complex systems, Phase Transition, phase transitions, quantitative ontology, empirical philosophy, Python, Python Code |
| Description: | This tutorial shows how to compute Fluctuation Intensity (FI), Correlation Dynamics (CD), Phase Transition Probability (PTP), Emergence Potential (EP), and Ethical Responsivity (ER) using the QOD/OII framework. The code is based on three Python modules: ontological_metrics.py – core definitions of FI, CD, PTP, EP, ER financial_analysis.py – examples on financial time series (e.g. SPY, QQQ) comprehensive_analysis.py – end-to-end analysis pipeline Related Research: Tan, K. H. (2025). "Empirical Signatures of Ontological Instability: Quantifying Fluctuational Epistemology in Complex Systems." ResearchGate. https://www.researchgate.net/publication/394281660_Empirical_Signatures_of_Ontological_Instability_Quantifying_Fluctuational_Epistemology_in_Complex_Systems |
| Document Type: | text |
| Language: | English |
| Relation: | https://zenodo.org/records/17100822; oai:zenodo.org:17100822; https://doi.org/10.5281/zenodo.17100822 |
| DOI: | 10.5281/zenodo.17100822 |
| Availability: | https://doi.org/10.5281/zenodo.17100822 https://zenodo.org/records/17100822 |
| Rights: | Creative Commons Attribution 4.0 International ; cc-by-4.0 ; https://creativecommons.org/licenses/by/4.0/legalcode ; Copyright © 2025 Kwan Hong Tan |
| Accession Number: | edsbas.890C3069 |
| Database: | BASE |
Nájsť tento článok vo Web of Science | Abstract: | This tutorial shows how to compute Fluctuation Intensity (FI), Correlation Dynamics (CD), Phase Transition Probability (PTP), Emergence Potential (EP), and Ethical Responsivity (ER) using the QOD/OII framework. The code is based on three Python modules: ontological_metrics.py – core definitions of FI, CD, PTP, EP, ER financial_analysis.py – examples on financial time series (e.g. SPY, QQQ) comprehensive_analysis.py – end-to-end analysis pipeline Related Research: Tan, K. H. (2025). "Empirical Signatures of Ontological Instability: Quantifying Fluctuational Epistemology in Complex Systems." ResearchGate. https://www.researchgate.net/publication/394281660_Empirical_Signatures_of_Ontological_Instability_Quantifying_Fluctuational_Epistemology_in_Complex_Systems |
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| DOI: | 10.5281/zenodo.17100822 |