Research Resources

To master AGI, one must read widely. Here is our curated list of essential resources.

Foundational Books

• "The Master Algorithm" - Pedro Domingos (Excellent overview of the 5 tribes of AI).
• "On Intelligence" - Jeff Hawkins (The inspiration behind PRIMUS and HTM).
• "Godel, Escher, Bach" - Douglas Hofstadter (Deep dive into self-reference and symbols).
• "Artificial General Intelligence" - Ben Goertzel and Cassio Pennachin.

Essential Papers

• "Attention is All You Need" (The Transformer paper).
• "A Mathematical Theory of Communication" - Claude Shannon (Foundational Information Theory).
• "A Foundation for General Intelligence" - Goertzel et al. (Hyperon foundations).

Online Courses

• Fast.ai: For a top-down approach to Deep Learning.
• MIT OpenCourseWare: Probability, Linear Algebra, and Theory of Computation.
• OpenCog YouTube Channel: Tutorials on MeTTa and the AtomSpace.

Tools

• DeepSpeed / Megatron: For training large models.
• Neo4j: For learning about graph databases (complementary to AtomSpace).
• Prolog: To get a feel for logic programming before diving into MeTTa.

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