The goal of this project is to ingest a list of trained relational statements and output a list of derived relational statements as well as generate a visualization of the output in graph form.
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Updated
Oct 28, 2024 - R
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relational-frame-theory
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PUMA – Program Understanding & Meta-learning Architecture Neuroscience-inspired meta-learning system for solving ARC-AGI-2 tasks through RFT-(Relational Frame Theory), symbolic reasoning, neural guidance, and test-time adaptation. #ARC2025
ai sentience neural-symbolic-reasoning meta-learning-algorithms test-time-adaptation relational-frame-theory conscious-ai behavioral-ai arc-agi-2
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Updated
Nov 23, 2025 - Python
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