#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.

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0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
11
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 11
0.2
Avg reactions / post
Mastodon · last 11

Day-by-day usage

measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-29 01:39 UTC
0
07-23
0
07-24
0
07-25
0
07-26
0
07-27
0
07-28
0
07-29

0 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 UTC

No related tags with measured usage found for #cognitivemodelling.

Live pulse

measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-29 01:39 UTC

Everything below is measured over the latest 11 public posts (spanning ~27869 hours).

Posting hours (UTC)

00:0012:0023:00

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

    Andy 🌎@asmaloney102024-01-23 16:23 UTCView post →
  • 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

    Andy 🌎@asmaloney102023-03-23 14:57 UTCView post →
  • 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

    Vassil Nikolov | Васил Николов@[email protected]002026-01-13 18:54 UTCView post →

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