A Compositional Framework for Open-ended Intelligence
Open-ended intelligence is the capacity to adapt to novel problems and environments that are substantially different from those in training. A mathematics of open-ended intelligence requires two pillars: first, a minimal set of representational primitives (e.g., states, actions) and algorithmic primitives (e.g., nearest neighbor); and second, an acquired compositional grammar for selection, recursion, and branching that produces sequences of operations and recurring motifs. We formalize open-ended intelligence in terms of the compositional closure induced by a finite primitive set $P$ and a set of composition operators $C$. We characterize properties of the induced closure $\mathcal{L}(P,...
| Authors | Ida Momennejad, Roberta Raileanu |
|---|---|
| Primary category | cs.LG |
| Published | 13 June 2026 |
| Last updated at source | 16 June 2026 |
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