sizhet/Digital-Brain-Model-Chain-of-Thoughts: Digital Brain Model – Chain of Thought (DBM-COT) v1.2

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Abstract

Release Notes — DBM-COT v1.2 Digital Brain Model – Chain of Thought (DBM-COT) Second DOI-Anchored Structural Release This release represents the second DOI-anchored public snapshot of the Digital Brain Model – Chain of Thought (DBM-COT) project, extending the architectural foundations established in v1.1 with a significantly expanded corpus of structural intelligence concepts, algorithms, and application frameworks. While v1.1 established the conceptual and architectural baseline, v1.2 strengthens the algorithmic layer of DBM Structural Intelligence and expands the ITEM knowledge system into a more complete research-grade corpus. Scope of This Release This release freezes an expanded and internally consistent DBM-COT corpus, including: Structural Intelligence Foundations (extended) Metric-space structural reasoning framework Differential Tree architecture refinements Structural representation invariants and encoding strategies CCC-based structural cognition framework extensions Core Algorithm Families (expanded) Two-Phases Structural Search refinements Hybrid Differential Tree routing concepts Sequence CCC and structural similarity frameworks Graph / Sequence / Image Starmap representations Structural IR pipelines and runtime abstractions Gap-bridging and ΔΔ-knowledge structural reasoning concepts Structural Intelligence × LLM × Evolution Discussions LLM vs DBM paradigm boundary clarification CCC as structural memory and case-law analogue Minimal Evolution Threshold (MET) analyses Structural evolution and rule-engine perspectives AI safety and regulation discussions in structural-intelligence context Application Exploration Tracks Examples across: DNA sequence modeling program-semantics structural reasoning time-series structural IR motion IR and interaction modeling advanced search scoring architectures ITEM Coverage DBM-COT v1.2 expands the structured knowledge corpus beyond the v1.1 baseline, forming a larger, more coherent ITEM-indexed structural knowledge system. Each ITEM remains: independently readable structurally connected version-traceable suitable for citation and incremental evolution Relationship to v1.1 This release is: not a replacement of v1.1 not a final version a structural expansion snapshot v1.1 remains the baseline DOI reference for the DBM-COT conceptual architecture. v1.2 represents the algorithmic and structural maturation stage of DBM-COT. Future releases (v2.0 and beyond) will continue the evolution of: DBM-COA (Chain-of-Algorithms) DBM-COS (Chain-of-Solutions) Purpose of DOI Fixation This release exists to: establish a timestamped research snapshot preserve algorithmic provenance support scholarly citation ensure reproducibility of DBM structural ideas The DBM project is explicitly evolutionary and open-ended. DOI releases serve as stable reference checkpoints, not endpoints. Intended Audience This release is intended for: AI researchers exploring structural intelligence paradigms engineers building interpretable reasoning systems students studying alternative cognition models interdisciplinary researchers interested in metric-space reasoning Citation Please cite this release using the Zenodo DOI assigned to DBM-COT v1.2.

Fields of Study & Subjects

Biomedical Text Mining and Ontologies Scientific Research and Philosophical Inquiry Cognitive Science and Education Research

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
6 February 2026
Language
EN