Auto-Relational Reasoning Framework Achieves Top 1% IQ Score
A new theoretical framework for automated reasoning through object-relations, integrated with artificial neural networks, has been proposed. The system solves Intelligence Quotient problems without prior knowledge, achieving a 98.03% solving rate corresponding to the top 1% percentile (132-144 IQ score). The result is limited only by model size and processing capabilities. The framework aims to surpass diminishing returns in large machine learning models by combining scalability with rigid reasoning.
Key facts
- Framework proposed for automated reasoning through object-relations integrated with artificial neural networks.
- System solves IQ problems without any prior knowledge.
- Achieves 98.03% solving rate.
- Corresponds to top 1% percentile or 132-144 IQ score.
- Result limited by small model size and processing capabilities.
- Aims to surpass diminishing returns in large ML models.
- Combines ML scalability with rigid reasoning.
- Formal analysis of reasoning presented.
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