#cognitivemodelling
Live, measured metrics for the hashtag #cognitivemodelling from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #cognitivemodelling
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Day-by-day usage
measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-29 01:39 UTC0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · fosstodon.org (Mastodon public search API) · fetched 2026-07-29 01:39 UTCNo related tags with measured usage found for #cognitivemodelling.
Live pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-29 01:39 UTCEverything below is measured over the latest 11 public posts (spanning ~27869 hours).
Posting hours (UTC)
Languages: English (7) · German (2) · Italian (2)
Avg boosts / post: 1.2
Top of the latest posts
🧠 I released v0.13 of my gactar tool for creating & running basic ACT-R models on multiple implementations using a single declarative file format. ACT-R (Adaptive Control of Thought — Rational) is both a theory of cognition and an implemen
For any cognitive science people out there in the Mastiverse who are into *symbolic*, I've just updated my mirror of Lisp ACT-R on GitHub to **7.27.7 **from 19 July 2022. https://github.com/asmaloney/ACT-R (For non-CogSci people, ACT-R (Ada
Do you remember this question: How Can Slow Components Think So Fast? This was the title of the 1988 Spring Symposium on Parallel Models of Intelligence, Stanford, California. (Note that the pulse rates of biological neurons are several _or
Every number above is measured from a named public API at the shown fetch time. Nothing is estimated or extrapolated. Platforms that lock their data behind paid APIs are not shown. Agents: the same numbers, as JSON, at /api/hashtags/cognitivemodelling