Pith Number

pith:4FN5KW4V

pith:2023:4FN5KW4VW2SI64SDIKEQBDCTCP

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We both think you did wrong -- How agreement shapes and is shaped by indirect reciprocity

Marcus Krellner, The Anh Han

Certain moral judgment norms produce high agreement among private assessors even without shared information, and this agreement can be predicted analytically for any observation rate while also shaping overall cooperation levels.

arxiv:2304.14826 v1 · 2023-04-22 · physics.soc-ph · cs.GT

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\pithnumber{4FN5KW4VW2SI64SDIKEQBDCTCP}

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4 Citations open

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Claims

C1strongest claim

even when everybody assesses individually (aka privately), some moral judgement systems (aka norms) can lead to high levels of agreement. We give a detailed account of the mechanisms which cause it and we show how to predict agreement analytically without requiring agent-based simulations, and for any observation rate. Finally, we show that agreement may increase or decrease reputations and therefore how much helpfulness (aka cooperation) occurs.

C2weakest assumption

The moral judgment norms can be formalized such that agreement levels admit an analytical derivation that holds for arbitrary observation rates and does not require validation against agent-based simulations. This premise is invoked when the abstract claims analytical prediction is possible without simulations.

C3one line summary

Certain moral judgment norms enable high agreement on reputations despite private assessments in indirect reciprocity, with analytical predictions of agreement for any observation rate that affect cooperation levels.

References

78 extracted · 78 resolved · 0 Pith anchors

[1] Albert, R., Jeong, H., and Barab \' a si, A.-L. (1999). Diameter of the World-Wide Web . Nature , 401(6749):130--131 1999

[2] Andras, P., Esterle, L., Guckert, M., Han, T. A., Lewis, P. R., Milanovic, K., Payne, T., Perret, C., Pitt, J., Powers, S. T., Urquhart, N., and Wells, S. (2018). Trusting Intelligent Machines: Deepen 2018

[3] Barabasi, A.-L. (2014). Linked-how Everything is Connected to Everything Else and what it Means F . Perseus Books Group 2014

[4] Barab \' a si, A.-L. (2016). Network Science . Cambridge University Press 2016

[5] Barab \' a si, A.-L. and Albert, R. (1999). Emergence of scaling in random networks . science , 286(5439):509--512 1999

Receipt and verification

First computed	2026-06-25T01:18:33.340508Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

e15bd55b95b6a48f72434289008c5313e91e76bd832fd68da1d94dcda3b5445b

Aliases

arxiv: 2304.14826 · arxiv_version: 2304.14826v1 · doi: 10.48550/arxiv.2304.14826 · pith_short_12: 4FN5KW4VW2SI · pith_short_16: 4FN5KW4VW2SI64SD · pith_short_8: 4FN5KW4V

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Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/4FN5KW4VW2SI64SDIKEQBDCTCP \
  | 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: e15bd55b95b6a48f72434289008c5313e91e76bd832fd68da1d94dcda3b5445b

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "f6f5e3278aa33c182af947493420528bcf9b1c42d332432e72010c0576b690fe",
    "cross_cats_sorted": [
      "cs.GT"
    ],
    "license": "http://creativecommons.org/licenses/by-sa/4.0/",
    "primary_cat": "physics.soc-ph",
    "submitted_at": "2023-04-22T10:14:19Z",
    "title_canon_sha256": "98d5451dc65f569fdbd8a532f7269c77abf1d01ecbb32964c28890733906d7b2"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2304.14826",
    "kind": "arxiv",
    "version": 1
  }
}