CounterpartsCounterpartsThe Memory Field GuideDirectory
TransformationAI: occupied

Episodic & semantic memory

"I met her on Tuesday" slowly becomes "I know her" — the event fades, the meaning stays.

Contested — Whether gist is compressed episodic detail or an independent multi-trace abstraction is unresolved.

the episode
  • whenTuesday, 3:14 pm
  • detailshe ordered an oat-milk flat white
  • whereCafé Luna, 2nd Ave
  • topictalked about the Montana trip
  • eventcoffee with Sarah
the gist
  • Sarah — a friend.
  • You get coffee together.
  • She's easy to talk to.
1 day after the episode · 0 of 5 details gone · the gist is forming

In the brain

Two systems, first distinguished by Tulving: episodic memory holds specific events (“I met her Tuesday”); semantic memory holds general knowledge (“I know her”)Tulving 1972. Over time, repeated episodes shed their verbatim detail and leave gist — Fuzzy-Trace Theory holds the two as parallel traces, the verbatim one fading fasterBrainerd 2002.

Whether semantic memory is just compressed episodes or a separate abstraction is unsettled.

The model

Verbatim-to-gist degradation: detailed traces decay quickly while the extracted meaning persists. You keep “we argued about consciousness” long after the exact words are gone. Consolidation is the process that does the distilling.

In AI

engram tagged each memory episodic or semantic and, during consolidation, compressed aging episodics into semantic gist with a small model; Counterparts keeps the split but promotes a memory to the semantic band on strength alone, with no model in the loop, and merged memories are born semantic. Microsoft’s layered working/episodic/collective memory and Alai Vault’s episodic/semantic tiers cover the split. One honest caveat: real semantic memory is gist across many episodes, not one old episode squeezed down.

The map

Episodic→semantic degradation — §103 exposed (Alai Vault, US20250371317A1).

7 prior-art references

2 post-priority (field context, not prior art)

The tiered split is §103-occupied. Distilling gist across many episodes — rather than compressing a single old one — is far less trodden.

How an AI memory can do this

Every AI memory makes a choice about this mechanism, whether or not its makers name it.

Counterparts is an AI memory modeled on human memory; its home page shows each of its mechanisms, this one included. See it on the Counterparts home

The directory rates 12 AI memory systems on the same eleven mechanisms, in plain language and with sources.

Compare them side by side

References

Sources

  1. E. Tulving (1972). Episodic and semantic memory. Organization of Memory (Academic Press).
  2. C. J. Brainerd & V. F. Reyna (2002). Fuzzy-Trace Theory and false memory. Current Directions in Psychological Science, 11(5).

From The Memory Field Guide: every source, the full landscape of patents, papers and open-source systems, and the method behind it.