https://github.com/mike014/memory_augmented_ai

This repository investigates theoretical foundations and practical implementations of stable memory architectures for AI systems, exploring neuroscience-inspired approaches to enhance intelligent assistants' capabilities.
https://github.com/mike014/memory_augmented_ai

agents agi ai cognitive cognitive-neuroscience cognitive-science jupyter-notebook memory neural-network python research-paper research-project robotics

Last synced: 10 days ago
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This repository investigates theoretical foundations and practical implementations of stable memory architectures for AI systems, exploring neuroscience-inspired approaches to enhance intelligent assistants' capabilities.

• Host: GitHub
• URL: https://github.com/mike014/memory_augmented_ai
• Owner: Mike014
• License: other
• Created: 2025-03-05T19:29:47.000Z (10 months ago)
• Default Branch: main
• Last Pushed: 2025-10-04T09:05:45.000Z (3 months ago)
• Last Synced: 2025-10-04T10:26:47.995Z (3 months ago)
• Topics: agents, agi, ai, cognitive, cognitive-neuroscience, cognitive-science, jupyter-notebook, memory, neural-network, python, research-paper, research-project, robotics
• Language: Jupyter Notebook
• Homepage: https://zenodo.org/records/14976723
• Size: 29.9 MB
• Stars: 2
• Watchers: 1
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE.txt

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README

          
# 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**](https://github.com/Mike014/__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.

---

## Research Papers

### Primary Research

- [Memory Systems in AI (Primary Research)](https://github.com/Mike014/Memory_Augmented_AI/blob/main/Memory_Augmented_AI.ipynb)  

  *Core exploration of theoretical and applied memory architectures.*

- [Download Research PDFs](https://zenodo.org/records/14976723)

### Cognitive-Inspired Approaches

- [Gifted-Inspired Learning Models (Secondary Research)](https://github.com/Mike014/Memory_Augmented_AI/blob/main/AI_Memory_and_Gifted-Inspired_Learning.ipynb)  

  *Exploration of cognitive frameworks inspired by gifted cognitive processes.*

- [Download Secondary Research PDFs](https://zenodo.org/records/14988996)

---

## 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](https://github.com/Mike014/Memory_Augmented_AI/blob/main/Computational_Reality.ipynb)**  

   *Redefining identity and reality through informational coherence.*

2. **[Is Consciousness Computable?](https://medium.com/@mikgrimaldi7/the-consciousness-paradox-penrose-strong-ai-and-soma-8442f16ee2f9)**  

   *Explores Penrose’s framework, Gödelian arguments, and strong AI limitations.*

3. **[The Illusion of Understanding in AI](https://github.com/Mike014/Memory_Augmented_AI/blob/main/The_Illusion_of_Understanding_in_AI.ipynb)**  

   *Critically examines the "understanding" of large language models.*

4. **[Ship of Theseus and Digital Identity](https://medium.com/@mikgrimaldi7/the-ship-of-theseus-paradox-and-digital-identity-in-soma-8fbf865f8a87)**  

   *Philosophical reflections on identity through gradual digital transformations.*

5. **[Do Androids Dream of Electric Sheep?](https://medium.com/@mikgrimaldi7/what-artificial-intelligence-really-is-today-computational-thinking-agents-and-the-reality-2e05dc3a2460)**  

   *Philosophical exploration of artificial selfhood inspired by Philip K. Dick.*

6. **[Stratified Consciousness: When the Self Evolves to Protect Itself](https://medium.com/@mikgrimaldi7/stratified-consciousness-when-the-self-evolves-to-protect-itself-a973b9b72976)**  

   *A layered theory of consciousness where each self emerges from deeply felt experience, integrating GWT and quantum phenomenology.*

---

### 2\. Memory Architectures and Autonomous Agent Design

7. **[Building AI with Autonomous Memory](https://medium.com/@mikgrimaldi7/building-ai-with-autonomous-memory-a-comparison-of-langgraph-brain-inspired-models-and-ewc-54eaff4275e3)**  

   *Comparison of memory approaches in practical agent architectures (LangGraph, EWC, etc.).*

8. **[EWC and Memory Coherence Experiments](https://github.com/Mike014/My_AI_Engineer_Portfolio_Projects/blob/22317d42e9c8a08a437ae0dfe07c3e5f14a8a949/Deep_Learning/Keras_NN/Transformers_with_Keras.ipynb)**  

   *Experimental evaluation of memory retention and plasticity using Elastic Weight Consolidation.*

9. **[Linear Algebra and the Architecture of Consciousness](https://medium.com/@mikgrimaldi7/linear-algebra-and-the-architecture-of-consciousness-34b0f7671718)**  

   *Mathematical perspectives on self-states and memory embedding.*

10. **[Memory-Augmented Neural Networks (MANNs)](https://github.com/Mike014/Memory_Augmented_AI/blob/main/Memory_Augmented_Neural_Networks.ipynb)**  

   *Meta-learning architectures for context-aware AI systems.*

11. **[Microscope for AI](https://github.com/Mike014/Memory_Augmented_AI/blob/main/microscope_for_AI.ipynb)**  

   *Anthropic's research into the internal workings of modern AI.*

12. **[From Turing Machines to ENTITÀ](https://github.com/Mike014/Memory_Augmented_AI/blob/main/From-Turing-Machines-to-ENTIT%C3%80.ipynb)**  

   *When perceived agency emerges from mathematics.*

---

### 3\. Affective Simulation and Perceptual Modeling

13. **[Simulating Feelings: Pain and Pleasure in AI](https://github.com/Mike014/Memory_Augmented_AI/blob/main/Simulating_Feelings_Pain_and_Pleasure_in_the_Age_of_AI.ipynb)**  

   *Examines the computational modeling of affective experiences.*

14. **[Dialogue with an LLM Simulating Human Attachment](https://medium.com/@mikgrimaldi7/computational-attachment-a-reflection-609364bd42e0)**  

   *Explores computational possibilities and limits of AI emotional attachment.*

15. **[Perceptive AI: Audio Reconstruction and Computational Perception](https://app.readytensor.ai/publications/omnia-hybrid-autoencoder-for-audio-spectrogram-reconstruction-and-enhancement-kZXyHHNcIvf4)**  

   *Simulation of sensory perception through audio reconstruction.*

16. **[Adaptive Bias in Language Models](https://medium.com/@mikgrimaldi7/adaptive-bias-in-language-models-c3a2eec79133)**  

   *Explores bias adaptation in language models as self-adaptive phenomena.*

---

### 4\. Computational Limits and Meta-Theoretical Considerations

17. **[Thoughts and Analysis on the Turing Machine](https://github.com/Mike014/Memory_Augmented_AI/blob/main/The_Turing_Machine.ipynb)**  

   *Fundamental analysis of computation and identity in discrete-state systems.*

18. **[Limits of Computational Thinking](https://medium.com/@mikgrimaldi7/artificial-intelligence-consciousness-and-the-limits-of-computational-thinking-2ba34a7d0299)**  

   *Philosophical reflections on the boundaries of formal logic and algorithmic reasoning.*

---

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