Hyperon AI Algorithms+AIRIS (Autonomous Intelligent Reinforcement Inferred Symbolism)

Responsible: Berick Cook

Autonomous Intelligent Reinforcement Inferred Symbolism — a causal ML system that builds deterministic environment models through direct interaction, encoding decision logic in explicit, auditable causal rewrite rules.

GitHub

</> Example Implementation

Causal model building

Shows AIRIS learning deterministic causal rules through direct environmental interaction.

; AIRIS deterministic causal learning ; Explicit rewrite rules !(airis-observe (state (block-at 3 5)) (action push-right) (result (block-at 4 5))) ; Learned rule: ; (push-right (block-at $x $y)) ; => (block-at (+ $x 1) $y)

Technical Deep Dive: AIRIS Full — causal rewrite rules, surprise-driven exploration, Minecraft demos, Cook & Hammer 2024 paper, and implementation findings.