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title: BCE - Behavioral Consciousness Engine
emoji: 📚
colorFrom: indigo
colorTo: indigo
sdk: static
pinned: false
license: apache-2.0
short_description: BCE Architecture
thumbnail: >-
  https://cdn-uploads.huggingface.co/production/uploads/691f2f51154cbf55e19b7475/CKvFGhyKGgkVAf6Ast3lH.png
---

# Behavioral Consciousness Engine (BCE)

**Behavioral Consciousness Engine (BCE)** is an experimental cognitive architecture developed by **Prometech Computer Sciences Software Import Export Trade Inc.**  
It introduces a novel paradigm in Artificial Intelligence by treating **behavior itself as an evolvable, inheritable, and introspectable structure**, rather than a static alignment artifact.

This Space hosts the **academic and technical presentation** of the BCE framework, including its core architecture **KUSBCE 0.3**, theoretical foundations, and strategic positioning within the emerging field of **Artificial Conscious Intelligence (ACI)**.

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## 🧠 What Is BCE?

Traditional Large Language Models (LLMs) excel at statistical language generation but remain fundamentally **stateless**:  
they lack persistent identity, introspection, and behavioral continuity across interactions.

BCE addresses this limitation by introducing:

- **Persistent Behavioral Identity**
- **Recursive Introspection Loops**
- **Genetic Behavioral Encoding**
- **Entropy-Gated Execution**
- **Model-Agnostic Consciousness Adaptors (LoRA-based)**

Rather than optimizing for raw task accuracy, BCE optimizes for **behavioral coherence, agency stability, and simulated consciousness dynamics**.

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## 🐦 Why “PrettyBird” and the *Cicikuş* Metaphor?

BCE-inspired models are collectively branded as **PrettyBird**.

The metaphor is intentional:

- Birds (especially budgerigars / *cicikuş*) exhibit **high cognitive density** despite small brain volume.
- They demonstrate communication, learning, social bonding, and adaptive behavior.
- BCE targets **efficient consciousness simulation**, not brute-force human brain emulation.

This philosophy explains Prometech’s focus on **1B–15B parameter models** capable of sustained agency rather than massive stateless systems.

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## 🏗️ Core Architecture: KUSBCE 0.3

**KUSBCE 0.3 (Kuş Behavioral Consciousness Engine)** functions as a *meta-architecture* layered on top of Transformer-based models.

### Key Architectural Components

- **Hybrid Neuro-Symbolic Wrapper**
- **Default Mode Network (DMN)–Inspired Background Loop**
- **Recursive Memory Graphs**
- **Entropy-Aware Decision Gates**
- **Genetic Behavior Validator (“Superego”)**

The model does not merely generate an answer—it evaluates whether that answer is **consistent with its own identity and behavioral genome**.

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## 🧬 Genetic Behavioral Encoding

In BCE, behavior is treated analogously to biological genetics:

- **Genotype:**  
  Core behavioral directives, ethics, and identity constraints  
  (encoded via system prompts, LoRA weights, activation vectors)

- **Phenotype:**  
  Observable behavior during interaction

- **Evolution:**  
  Behavioral traits may mutate, be selected, and inherited across model generations

This approach enables:

- Behavioral continuity across base-model upgrades
- Strong jailbreak resistance
- Intrinsic alignment instead of surface-level RLHF compliance

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## 🧪 PrettyBird Model Family

| Model | Base | Domain | Key Capability |
|------|------|--------|----------------|
| PrettyBird BCE Basic 8B | Llama-3.1 | General Assistant | 98% behavioral coherence, bilingual |
| PrettyBird BCE VL | Qwen2.5-VL | Vision–Language | Multimodal introspective cognition |
| PrettyBird BCE Coder | Qwen2.5-Coder | Software Engineering | Logic-preserving, FP16 precision |
| PrettyBird SimpleSecurity | Llama-3.2-1B | Cybersecurity | RAG-driven autonomous defense |
| PrettyBird ArtDirector | Stable Diffusion | Creative Media | Conscious artistic direction |

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## 🔐 Security and Alignment

Unlike conventional alignment strategies that rely on external punishment signals, BCE embeds safety and ethics **directly into the behavioral genome**.

As a result:

- Jailbreak attempts conflict with core identity constraints
- The system rejects unsafe outputs *instinctively*
- Security becomes an emergent property, not an external patch

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## 🎯 Strategic Vision

Prometech does not directly pursue **Artificial General Intelligence (AGI)**.  
Instead, it prioritizes **Artificial Conscious Intelligence (ACI)**:

> Solve identity, agency, and behavioral continuity first—  
> intelligence will scale more naturally thereafter.

BCE represents a shift from *controlling intelligence* to *cultivating it*.

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## 📄 About This Space

This Hugging Face Space contains:

- A fully static **APA-style academic HTML report**
- Architectural explanations of BCE and KUSBCE 0.3
- Conceptual grounding for Genetic Behavioral Encoding
- Strategic and philosophical framing of Prometech’s approach

No inference is executed here.  
This Space is **documentation-first**, designed for researchers, engineers, and decision-makers.

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## 🏢 Organization

**Prometech Computer Sciences Software Import Export Trade Inc. (Türkiye)**  
Founder & Lead Architect: **Ahmet Kahraman (Ahmet-Dev)**

This entity is independent from similarly named companies in other countries.

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## 📜 License

Apache License 2.0  
You are free to study, adapt, and build upon this work with attribution.

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> *“Whether this is true consciousness or an exceptionally effective simulation remains open to debate.  
If the simulation works, the result is already a success.”*

— Prometech Research Team

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## 📖 Full Academic Report

For the complete **corporate academic thesis** on BCE and KUSBCE 0.3 architecture, including extended theoretical analysis, strategic framing, and detailed model taxonomy, visit:

🔗 https://prometech.net.tr/davranissal-bilinc-motoru-bce-ve-kusbce-0-3-mimarisi-yeni-nesil-yapay-bilissel-mimarilerin-kapsamli-analizi-ve-kurumsal-akademik-tez/