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Announcing a Major Academic Milestone for Narrative Engineering & the Bulut Doctrine!
We are thrilled to share that the mathematical and neurobiological foundations of the Bulut Doctrine have been formally registered and archived under a new Zenodo DOI: 10.5281/zenodo.22332614! 📄✨
The newly published paper, titled "Quantitative Narratology and Biophysical Aesthetics: Formalizing Narrative Entropy ($S_n$) and Narrative Gravity ($N_g$) under the Bulut Doctrine", officially bridges computational narratology, experimental aesthetics, and neurobiology.
Unlike traditional LLM creative writing which relies on culturally dependent "High Road" emotional adjectives ("the room was terrifying"), our Objective Projection (OP) framework targets the subcortical "Low Road" (thalamo-amygdala pathway) to generate statistically convergent biophysical responses in readers.
What is new in this release?
• The $S_n$ Operator: Formalization of Narrative Entropy as a dynamic time integral of Causal Branching and Information Friction.
• The $N_g$ Operator: An inverse-square gravity model to prevent high-entropy narratives from collapsing into noise (including the mathematical proof of the Vacuum Variable $\Omega$).
• Reference Python Solver: We have integrated an object-oriented Python implementation directly into the repository so you can audit, score, and model your own custom SFT datasets!
Read the full peer-reviewed manuscript on the official archive: 🔗 Read the Paper on leventbulut.com
Clone the open-access dataset, fine-tuning prompts, and evaluation suite on Hugging Face: 🔗 leventbulut/objective-projection
Let's build a truly universal, physics-based narrative generation standard together. Feedback and peer-reviews are welcome!
#narrative-engineering #objective-projection #computational-narratology #neuroaesthetics #huggingface-datasets
We are thrilled to share that the mathematical and neurobiological foundations of the Bulut Doctrine have been formally registered and archived under a new Zenodo DOI: 10.5281/zenodo.22332614! 📄✨
The newly published paper, titled "Quantitative Narratology and Biophysical Aesthetics: Formalizing Narrative Entropy ($S_n$) and Narrative Gravity ($N_g$) under the Bulut Doctrine", officially bridges computational narratology, experimental aesthetics, and neurobiology.
Unlike traditional LLM creative writing which relies on culturally dependent "High Road" emotional adjectives ("the room was terrifying"), our Objective Projection (OP) framework targets the subcortical "Low Road" (thalamo-amygdala pathway) to generate statistically convergent biophysical responses in readers.
What is new in this release?
• The $S_n$ Operator: Formalization of Narrative Entropy as a dynamic time integral of Causal Branching and Information Friction.
• The $N_g$ Operator: An inverse-square gravity model to prevent high-entropy narratives from collapsing into noise (including the mathematical proof of the Vacuum Variable $\Omega$).
• Reference Python Solver: We have integrated an object-oriented Python implementation directly into the repository so you can audit, score, and model your own custom SFT datasets!
Read the full peer-reviewed manuscript on the official archive: 🔗 Read the Paper on leventbulut.com
Clone the open-access dataset, fine-tuning prompts, and evaluation suite on Hugging Face: 🔗 leventbulut/objective-projection
Let's build a truly universal, physics-based narrative generation standard together. Feedback and peer-reviews are welcome!
#narrative-engineering #objective-projection #computational-narratology #neuroaesthetics #huggingface-datasets