Defining and quantifying compositional structure
Eric Elmoznino · Guillaume Lajoie
Abstract
Compositionality is thought to be crucial in human cognition and AI, but we lack a scientific understanding of what it is. What kind of data is compositionally structured? Can we mathematically quantify the amount and character of compositional structure? This blog post introduces a novel approach for doing so, building off of existing tools from algorithmic information theory that formalize notions of complexity and structure. The mathematical definition of compositionality that we'll come to is rigorous, precise, and general, and the hope is that it can inspire novel research directions in AI for uncovering compositional structure in natural data.
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