# Tabula Rasa Learning Approach Proposal

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Tabula Rasa Learning Approach Proposal

Summary

I propose implementing a "Tabula Rasa" (clean slate) learning approach for our project, where the system starts with minimal prior knowledge and learns from scratch through self-play or self-improvement mechanisms. This approach aims to allow the system to develop its own understanding and strategies organically.

Background

In many AI systems, predefined heuristics, rule-based algorithms, or human-designed features are used to guide the learning or decision-making process. However, alternative approaches, such as "Tabula Rasa," offer the opportunity to build intelligence without initial biases or predefined rules.

Proposal

The idea is to:

• Create a framework where the system begins with minimal or no initial knowledge.
• Develop mechanisms for self-play, exploration, or learning from experience.
• Allow the system to adapt, optimize, and evolve its strategies over time.
• Potentially discover novel approaches, solutions, or insights that may not be apparent with traditional methods.

Potential Benefits

• Innovation: This approach may lead to the discovery of unconventional solutions or strategies.
• Adaptability: The system can adapt to changing conditions or tasks without the need for human intervention.
• Learning Efficiency: It can potentially learn more efficiently and effectively from experience.

Discussion Points

• Feasibility: How feasible is it to implement the Tabula Rasa approach within our project's domain?
• Resource Requirements: What computational resources, data, or infrastructure would be needed?
• Evaluation Metrics: How do we measure the success and progress of the Tabula Rasa learning process?
• Use Cases: In what scenarios or domains could this approach be most beneficial?
• Long-Term Goals: What are the long-term objectives and expected outcomes of implementing Tabula Rasa learning?

Let's discuss the feasibility and potential implementation strategies for this approach in our project.

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https://github.com/LeelaChessZero/lc0