Memory_Augmented_AI

Overview

This repository addresses the critical challenge of developing stable and adaptive memory architectures in artificial intelligence and robotics. It encompasses:

• Theoretical foundations
• Practical implementations
• Philosophical implications

This is a fully self-funded research project, involving experimental validation through my hybrid AI agent, NoVa, which integrates Large Language Models (LLMs) with context-aware memory systems. Built using the SmolAgents library, NoVa demonstrates coherent, lightweight autonomous behavior, bridging theory with practical autonomous systems.

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Research Papers

Primary Research

• Memory Systems in AI (Primary Research)
  Core exploration of theoretical and applied memory architectures.
• Download Research PDFs

Cognitive-Inspired Approaches

• Gifted-Inspired Learning Models (Secondary Research)
  Exploration of cognitive frameworks inspired by gifted cognitive processes.
• Download Secondary Research PDFs

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Theoretical Resources Index

This curated collection supports the development of memory-augmented architectures and is organized by thematic relevance:

1. Core Identity and Computational Consciousness

1. AI = Algorithmic Idealism
   Redefining identity and reality through informational coherence.

2. Is Consciousness Computable?
   Explores Penrose’s framework, Gödelian arguments, and strong AI limitations.

3. The Illusion of Understanding in AI
   Critically examines the "understanding" of large language models.

4. Ship of Theseus and Digital Identity
   Philosophical reflections on identity through gradual digital transformations.

5. Do Androids Dream of Electric Sheep?
   Philosophical exploration of artificial selfhood inspired by Philip K. Dick.

6. Stratified Consciousness: When the Self Evolves to Protect Itself
   A layered theory of consciousness where each self emerges from deeply felt experience, integrating GWT and quantum phenomenology.

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2. Memory Architectures and Autonomous Agent Design

7. Building AI with Autonomous Memory
   Comparison of memory approaches in practical agent architectures (LangGraph, EWC, etc.).

8. EWC and Memory Coherence Experiments
   Experimental evaluation of memory retention and plasticity using Elastic Weight Consolidation.

9. Linear Algebra and the Architecture of Consciousness
   Mathematical perspectives on self-states and memory embedding.

10. Memory-Augmented Neural Networks (MANNs)
    Meta-learning architectures for context-aware AI systems.

11. Microscope for AI
    Anthropic's research into the internal workings of modern AI.

12. From Turing Machines to ENTITÀ
    When perceived agency emerges from mathematics.

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3. Affective Simulation and Perceptual Modeling

13. Simulating Feelings: Pain and Pleasure in AI
    Examines the computational modeling of affective experiences.

14. Dialogue with an LLM Simulating Human Attachment
    Explores computational possibilities and limits of AI emotional attachment.

15. Perceptive AI: Audio Reconstruction and Computational Perception
    Simulation of sensory perception through audio reconstruction.

16. Adaptive Bias in Language Models
    Explores bias adaptation in language models as self-adaptive phenomena.

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4. Computational Limits and Meta-Theoretical Considerations

17. Thoughts and Analysis on the Turing Machine
    Fundamental analysis of computation and identity in discrete-state systems.

18. Limits of Computational Thinking
    Philosophical reflections on the boundaries of formal logic and algorithmic reasoning.

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Note: This structured ordering supports context-aware memory system development, agent self-modeling, and a philosophically grounded digital identity architecture.