Schemas & assimilation
New facts don't land on blank ground. They're folded into what you already believe.
what you know about Sam
- Sam's vegetarian
- not a morning person
- bikes everywhere
In the brain
New information never lands on blank ground. It’s assimilated into existing schemas — mental frameworks that shape what gets encoded and how it’s later reconstructed. Bartlett’s readers, retelling an unfamiliar folk tale, unconsciously reshaped it toward their own cultural expectationsBartlett 1932. Schema-consistent facts consolidate faster; there’s already a slot for them.
The model
Assimilation versus accommodation: fit new data into an existing frame, or revise the frame to fit the data. Schemas speed the encoding of consistent information and bias the reconstruction of anything ambiguous — memory as an active model, not a passive log.
In AI
The least-built mechanism here. Knowledge-graph memories (Microsoft’s brain-modeling KG; Cerego’s related-concept generation) gesture at structure, and entity tracking would be a first step — but AI memory systems overwhelmingly store isolated memory atoms, not memories assimilated into an evolving model of the world. engram’s own review flagged this as its biggest missing piece; Counterparts’ answer is its schemas module, still in development: cards for people and things exist; beliefs on them that change only when evidence adds up come next.
The map
Schema assimilation — largely open on the AI side; classic in cognitive science.
2 prior-art references
- Cerego2017Auto-generating related conceptspatentGoogle Patents ↗
- Microsoft~2018Knowledge graph that "models the human brain memory system"patentGoogle Patents ↗
1 post-priority (field context, not prior art)
- Mike LaPeter2026CounterpartsossSite ↗
Open ground. Assimilating memories into an evolving schema — rather than accumulating independent atoms — is close to untouched on the AI side.