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PersonaFramework

Adaptive context + attention framework with feedback-driven learning across multi-stage processing and contextual memory.

ai
context
attention
memory
framework

The Persona Framework is an adaptive intelligence framework inspired by human cognition. It models attention, focus, memory, and decision-making through a multi-stage processing pipeline.

The Persona Engine blends rule-based preprocessing, adaptive thresholding, neural pattern recognition, contextual memory, and feedback-driven learning. Continuous feedback loops allow the system to evolve in real time.

Persona serves as the intelligence backbone for assistants, personalization systems, and adaptive decision-making across CREO.

Key Highlights

  • Rule-Based Preprocessing
  • Adaptive Thresholding and Parameter Adjustment
  • Neural Network Processing for Complex Patterns
  • Contextual Memory and Goal Alignment
  • Decision-Making and Memory Update

Components

Persona Engine
Persona CMS
PersonaLink

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