Testing the Consent-Friction Functional: Preference-Design Artifacts and the Contention-Bounded Limits of Coordination Friction in Multi-Agent Reinforcement Learning

Murad Farzulla

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DOI: 10.21203/rs.3.rs-10375465/v1
Published: 2026-07-22
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Publisher: Springer Science and Business Media LLC
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Cite this work

BibTeX

@article{allodium:10.21203/rs.3.rs-10375465/v1,
  title = {Testing the Consent-Friction Functional: Preference-Design Artifacts and the Contention-Bounded Limits of Coordination Friction in Multi-Agent Reinforcement Learning},
  author = {Murad Farzulla},
  year = {2026},
  doi = {10.21203/rs.3.rs-10375465/v1},
  url = {https://doi.org/10.21203/rs.3.rs-10375465/v1}
}

RIS

TY  - JOUR
TI  - Testing the Consent-Friction Functional: Preference-Design Artifacts and the Contention-Bounded Limits of Coordination Friction in Multi-Agent Reinforcement Learning
AU  - Murad Farzulla
PY  - 2026
DO  - 10.21203/rs.3.rs-10375465/v1
UR  - https://doi.org/10.21203/rs.3.rs-10375465/v1
ER  -

APA

Farzulla, M. (2026). Testing the Consent-Friction Functional: Preference-Design Artifacts and the Contention-Bounded Limits of Coordination Friction in Multi-Agent Reinforcement Learning. https://doi.org/10.21203/rs.3.rs-10375465/v1

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crossref · retrieved 2026-09-25T17:28:32.453Z