title: BCE - Behavioral Consciousness Engine
emoji: 📚
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license: apache-2.0
short_description: BCE Architecture
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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).
🧠 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.
🐦 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.
🏗️ 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.
🧬 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 interactionEvolution:
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
🧪 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 |
🔐 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
🎯 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.
📄 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.
🏢 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.
📜 License
Apache License 2.0
You are free to study, adapt, and build upon this work with attribution.
“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
📖 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: