Founder of ALMA AI — an independent research initiative exploring how artificial intelligence can become a transparent cognitive system for long-term psychological understanding.
Rather than building another conversational assistant, I am designing an evidence-based cognitive architecture that continuously constructs, evaluates, and refines psychological representations through structured reasoning.
ALMA investigates how AI can move beyond response generation toward genuine cognitive understanding.
Current research focuses on:
- Cognitive Architecture
- Evidence-Based Reasoning
- Knowledge Representation
- Psychological Modeling
- Cognitive State
- Reflection Systems
- Human Compatibility
ALMA is built on a simple principle:
Understanding should improve over time.
Instead of trying to predict the best response, ALMA continuously updates an evolving cognitive model using observations, patterns, hypotheses, evidence, confidence, uncertainty, memory, and reflection.
Every conversation becomes additional evidence rather than an isolated interaction.
The active research repository.
Contains the complete cognitive architecture, reasoning framework, cognitive objects, prototype documentation, and system design.
Repository
https://github.com/MaksimNagaevEthicalAI/ALMA-Core
Historical archive documenting the evolution of the ALMA project from its earliest concepts to the current architecture.
Includes executive briefs, early concepts, compatibility research, and original documentation.
Repository
https://github.com/MaksimNagaevEthicalAI/ALMA-Research
The project is currently focused on research rather than implementation.
The primary objective is to establish a complete and internally consistent cognitive architecture before writing production code.
Current areas of development include:
- Designing cognitive components
- Defining cognitive objects
- Knowledge representation
- Evidence evaluation
- Probabilistic reasoning
- Confidence estimation
- Uncertainty management
- Memory architecture
- Reflection generation
- Prototype design
Implementation will begin only after the research architecture reaches sufficient maturity.
✔ Cognitive Architecture
✔ Component Design
✔ Cognitive Objects
✔ Reasoning Framework
✔ Knowledge Representation
🔄 In Progress
- Internal cognitive pipeline
- State management
- Reflection generation
- Experimental conversations
Planned
- Architecture validation
- Cognitive experiments
- Internal testing
Future
- Public demonstrations
- Research collaborations
- Open documentation
- Community contributions
Every design decision follows several fundamental principles:
- Evidence before conclusions
- Understand before advising
- Preserve uncertainty when evidence is insufficient
- Every hypothesis remains revisable
- Psychological understanding is never complete
- Transparency is more important than complexity
- Long-term understanding is more valuable than immediate answers
Most conversational AI systems optimize for generating better responses.
ALMA explores a different question:
Can artificial intelligence continuously improve its understanding of a person instead of simply improving its answers?
This question drives every architectural decision within the project.
Project documentation, architecture, and research notes:
Research articles on AI, psychology, relationship dynamics, and cognitive architecture:
https://medium.com/@EthicalAIforLongTermPartnerCom
Project updates and professional networking:www.linkedin.com/in/maksim-nagaev-9a03013a8
📧 spektrbio@gmail.com 📧 alma.ai.research@gmail.com
I welcome conversations about:
- AI Research
- Cognitive Architecture
- Knowledge Representation
- Human Psychology
- Research Collaboration
- Early-stage Partnerships
This GitHub is dedicated to the long-term development of ALMA AI.
The project is developed in the open, with architecture documented before implementation.
Every repository reflects a different stage of the research:
- ALMA-Core — active cognitive architecture and system design.
- ALMA-Research — historical concepts, executive briefs, and early research.
The long-term goal is to create a transparent, evidence-based cognitive framework capable of continuously improving psychological understanding.
Thank you for visiting.
I welcome conversations about:
- AI Research
- Cognitive Architecture
- Knowledge Representation
- Human Psychology
- Research Collaboration
- Early-stage Partnerships
This GitHub is dedicated to the long-term development of ALMA AI.
The project is developed in the open, with architecture documented before implementation.
Every repository reflects a different stage of the research:
- ALMA-Core — active cognitive architecture and system design.
- ALMA-Research — historical concepts, executive briefs, and early research.
The long-term goal is to create a transparent, evidence-based cognitive framework capable of continuously improving psychological understanding.
Thank you for visiting.