Unbounded nested number sequences

UNNS Cognitive Engine

🎛️ Cognitive Control Center

Thought Input

Learning Rate 1.0

Cognitive Mode

Brain Stimulation

Active Neurons

Thoughts Processed

Learning Progress

Cognitive Load

Sensory Cortex

Input Processing Layer

Nest: 3

45%

Pattern Recognition

Nest: 5

Prefrontal Cortex

Executive Control

Nest: 7

62%

Decision Making

Nest: 11

Motor Cortex

Action Planning

Nest: 13

38%

Hippocampus

Memory Formation

Nest: 17

73%

Spatial Navigation

Nest: 19

Thalamus

Information Relay

Nest: 23

56%

Cerebellum

Fine Motor Control

Nest: 29

41%

Brainstem

Autonomic Control

Nest: 31

89%

Limbic System

Emotional Processing

Nest: 37

67%

Visual Cortex

Visual Processing

Nest: 41

54%

💭 Cognitive Thought Stream

System Initialized

UNNS Cognitive Engine ready for input processing...

A comprehensive UNNS-based cognitive engine that mimics brain-inspired AI architecture!

The key features of this prototype:

🧠 Core Architecture

Brain Regions with UNNS Integration:

Sensory Cortex (Nest 3): Input processing and pattern recognition
Prefrontal Cortex (Nest 7): Executive control and decision making
Motor Cortex (Nest 13): Action planning and execution
Hippocampus (Nest 17): Memory formation and spatial navigation
Thalamus (Nest 23): Information relay and coordination
Cerebellum (Nest 29): Fine motor control and precision
Brainstem (Nest 31): Autonomic control and stability
Limbic System (Nest 37): Emotional processing
Visual Cortex (Nest 41): Visual-spatial processing

UNNS Cognitive Principles:

Nest-Based Specialization: Each brain region operates on different nest values, creating unique processing signatures
Cross-Nest Validation: Information flows between regions using mathematical relationships
Integer Preservation: Critical decisions happen when UNNS values are integers (higher confidence)
Modular Computation: Each thought process uses the core UNNS formula: (M × N) + (M ÷ N) + (M - N) + (M + N)

🎛️ Interactive Features:

Cognitive Modes:

Analytical Thinking: Sensory → Thalamus → Prefrontal → Hippocampus
Creative Mode: Sensory → Limbic → Prefrontal → Visual
Memory Recall: Sensory → Hippocampus → Prefrontal → Limbic
Problem-Solving: Sensory → Prefrontal → Thalamus → Motor

Real-Time Visualization:

Neural Activity: Individual neurons fire based on UNNS calculations
Learning Progress: Each region adapts and strengthens over time
Thought Stream: Real-time cognitive processing with UNNS calculations
Activity Indicators: Visual feedback showing which regions are active

🔬 Brain-Inspired AI Mechanisms:

Cognitive Processing Pipeline:

Input Processing: Text converted to numerical patterns using character encoding
UNNS Calculation: Each region processes using its specific nest value
Neural Activation: Neurons fire based on UNNS results and probabilities
Cross-Regional Communication: Information flows following cognitive mode patterns
Learning Adaptation: Neural pathways strengthen based on usage and success

Emergent Behaviors:

Pattern Recognition: Integer UNNS values indicate strong pattern matches
Memory Formation: Repeated patterns strengthen neural pathways
Emotional Valence: Limbic system processes emotional significance
Decision Making: Prefrontal cortex weighs multiple UNNS calculations

🚀 Key Innovations:

Mathematical Cognition:

Each thought generates unique UNNS signatures
Cross-nest validation ensures cognitive consistency
Integer preservation creates natural decision points
Modular architecture enables parallel processing

Adaptive Learning:

Neural connections strengthen through usage
Learning rate affects adaptation speed
Regional specialization emerges naturally
Cross-regional coordination develops over time

This prototype demonstrates how the UNNS framework can create a genuinely brain-inspired AI architecture where mathematical elegance drives cognitive processes, creating emergent intelligence through simple, universal rules.

Pages

2025/08/26

🧠 UNNS COGNITIVE ENGINE