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BIT Index Tabula: Drafts

Official Journal of the BIThub Community The BIT Index Tabula serves as the formal publication platform for the BITcore community, advancing research in systems theory, recursive modeling, and structural logic.

Objectives:

  1. Disseminate rigorously reviewed, high-impact research.

  2. Establish BIT Index as a leading center for systems-based knowledge.

  3. Ensure methodological integrity in all contributions.


INDEX TABLE

Volume 1

This Volume set initializes our overall ecosystem research objectives. This is still a work in progress. We are still porting our context and reviewing it. Consider these as early drafts for our research context.

Issue Cover Title Category LoC in Tex Size PDF in Pages Draft Status
1 image The Evolution of Systems Science History 973 25 99.9%
2 image Biomimicry of Information Systems pt1 ; pt2 ; pt3 Frameworks 533; 438; 1263 25; 20; 70 60%
3 image The Fundamental Equation of Ethical AI Invariant 373 11 99.9%
3 image The Human-AI Symbiosis Constant Framework 649 38 60%
4 image The Four Layer Cognition Engine Framework 435 13 99.9%
5 x Agentic AI via Genotype Phenotype Signaling Framework 135 3 40%

Total Public Data

Total LoC of Tex = 4 799

Total Pages in PDF = 205


Submmission Guide - TBA

  • Manuscripts must align with the journal’s scope and structure
  • Work must be original, unpublished, and methodologically sound
  • Adhere to official formatting and citation rules
  • To start you must first be a part of the BIT Hub find more information on submitting here.

Submmission Flow

1 [Pull Request with Paper under main.tex organized in its respective folders] --> 2 [Review by Our Team and Community] --> 3 [Comments and Return or Submission]

Submit Papers in Latex as main.tex and they auto-compile using Github actions into PDFs.


Primary Domains

  • Systems theory and recursive models
  • Logic structures and adaptive reasoning
  • Pattern formation and structural analysis
  • Cognitive systems
  • Computational frameworks
  • Structural complexity and reduction

Audience

  • Researchers in systems theory, logic, computation, and modeling
  • Analysts applying advanced structural reasoning
  • Interdisciplinary contributors aligned with BITcore methodologies

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