Academic Bibliography

Search 200 years of publications by Ghent University researchers.

Inês Terrucha

ORCID iD: 0000-0003-2086-1644

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Humans program artificial delegates to accurately solve collective-risk dilemmas but lack precision

Inês Terrucha, Elias Fernandez Domingos, Remi Suchon, Francisco C. Santos, Pieter Simoens (UGent) and Tom Lenaerts

(2025) PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA. 122(25).
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- PhD Thesis
Delegation of conflict-of-interest decisions to autonomous agents

Inês Terrucha

(2024)
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Committing to the wrong artificial delegate in a collective-risk dilemma is better than directly committing mistakes

Inês Terrucha, Elias Fernandez Domingos, Pieter Simoens (UGent) and Tom Lenaerts

(2024) SCIENTIFIC REPORTS. 14(1).
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The art of compensation : how hybrid teams solve collective-risk dilemmas

Inês Terrucha, Elias Fernandez Domingos, Francisco C. Santos, Pieter Simoens (UGent) and Tom Lenaerts

(2024) PLOS ONE. 19(2).
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- Conference Paper
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To avoid collective disasters, it is better to commit to a flawed AI than to commit the errors ourselves

Inês Terrucha, Elias Domingos, Pieter Simoens (UGent) and Tom Lenaerts

(2023) EDAI 2023 : Evolutionary Dynamics in social, cooperative and hybrid AI, Proceedings.
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- Conference Paper
- C3
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Delegation to autonomous agents : a key to overcome past failure and focus on the collective target ahead

Inês Terrucha, E. F. Domingos, R. Suchon, F. C. Santon, Pieter Simoens (UGent) and T. Lenaerts

(2023) IC²S² 2023 : the 9th International Conference on Computational Social Science.
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Delegation to artificial agents fosters prosocial behaviors in the collective risk dilemma

Elias Fernandez Domingos, Inês Terrucha, Remi Suchon, Jelena Grujic, Juan C. Burguillo, Francisco C. Santos and Tom Lenaerts

(2022) SCIENTIFIC REPORTS. 12(1).
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The art of compensation : how hybrid teams solve collective risk dilemmas

Inês Terrucha, E. F. Dmingos, F. C. Santos, Pieter Simoens (UGent) and T. Lenaerts

(2022) ALA 2020 : workshop at AAMAS 2022.
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- Conference Paper
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Bayesian inverse reinforcement learning for strategy extraction in the iterated prisoner's dilemma game

Matthias Cami, Inês Terrucha, Yara Khaluf (UGent) and Pieter Simoens (UGent)

(2021) Proceedings of BNAIC/BeneLearn 2021, 33rd Benelux Conference on Artificial Intelligence and 30th Belgian-Dutch Conference on Machine Learning. p.806-808
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Delegation to autonomous agents promotes cooperation in collective-risk dilemmas

Elias Fernández Domingos, Inês Terrucha, Rémi Suchon, Jelena Grujic, Juan Carlo Burguillo, Francisco C. Santos and Tom Lenaerts

(2020) NeurIPS 2020 Cooperative AI Workshop.