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pith:2CETZSTO

pith:2025:2CETZSTOZVHOYFWOTW2Z7QEZ6P
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Epistemic Skills: Reasoning about Knowledge and Oblivion

Xiaolong Liang, Y\`i N. W\'ang

Weighted models with an epistemic skills metric capture knowledge acquisition as upskilling and oblivion as downskilling while incorporating group knowledge.

arxiv:2504.01733 v5 · 2025-04-02 · cs.AI · cs.CC · cs.LO

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4 Citations open
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Claims

C1strongest claim

The framework captures the dynamics of acquiring knowledge and descending into oblivion while incorporating group knowledge, enables exploration of knowability and forgettability, and supports analysis of epistemic de re and de dicto expressions, with examined computational complexity for model checking and satisfiability.

C2weakest assumption

That weighted models with an epistemic skills metric can faithfully represent the epistemic capacities tied to knowledge updates and that upskilling/downskilling operations adequately model real knowledge acquisition and oblivion processes (abstract, section on framework introduction).

C3one line summary

Develops epistemic logics with weighted models where knowledge acquisition is modeled as upskilling and oblivion as downskilling, including analysis of knowability, forgettability, and computational complexity of model checking and satisfiability.

Receipt and verification
First computed 2026-05-25T02:01:03.256719Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

d0893cca6ecd4eec16ce9db59fc099f3d3922320ad3b5ec9fe21e2aa21a1bfac

Aliases

arxiv: 2504.01733 · arxiv_version: 2504.01733v5 · doi: 10.48550/arxiv.2504.01733 · pith_short_12: 2CETZSTOZVHO · pith_short_16: 2CETZSTOZVHOYFWO · pith_short_8: 2CETZSTO
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Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/2CETZSTOZVHOYFWOTW2Z7QEZ6P \
  | jq -c '.canonical_record' \
  | python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: d0893cca6ecd4eec16ce9db59fc099f3d3922320ad3b5ec9fe21e2aa21a1bfac
Canonical record JSON
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    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.AI",
    "submitted_at": "2025-04-02T13:41:42Z",
    "title_canon_sha256": "2ae38810a3a0066c2f000b4847a9274ef8dac7a3b46b69570b7e797e4058850b"
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