#appliedlogic

Live, measured metrics for the hashtag #appliedlogic 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
4
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 4
0
Avg reactions / post
Mastodon · last 4

Day-by-day usage

measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-27 22:50 UTC
0
07-21
0
07-22
0
07-23
0
07-24
0
07-25
0
07-26
0
07-27

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 2026-07-27 22:50 UTC

No related tags with measured usage found for #appliedlogic.

Live pulse

measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-27 22:50 UTC

Everything below is measured over the latest 4 public posts (spanning ~63457 hours).

Posting hours (UTC)

00:0012:0023:00

Languages: English (4)

Avg boosts / post: 1

Top of the latest posts

  • A new issue of the diamond open access Transactions on Graph Data and Knowledge is out now: https://drops.dagstuhl.de/entities/issue/TGDK-volume-2-issue-1 with our paper on logics for conceptual modelling, a paper on representing processes

    Maria Keet@[email protected]♥ 0↻ 32024-05-03 15:02 UTCView post →

  • my current (still draft) paper is about object references in purportedly truth value definite sentences think there's something good in it ... 😅 #nontology #PhilosophyOfLogic #AppliedLogic #PhilMath #PhilSci #PhilosophyOfMathematics #Philo

    Friedrich Wilhelm Grafe@[email protected]♥ 0↻ 12024-03-04 21:41 UTCView post →

  • This Wednesday I will give an online WIP talk ”What will it take for machines to understand counterfactual conditionals?” All interested are very welcome to join! https://asamonek.github.io/events/2021/02/10/wip-seminar.html #MachineLearnin

    Aleksandra Samonek@[email protected]♥ 0↻ 02021-02-08 22:03 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/appliedlogic