Comparing The Accuracy of Frequentist and Bayesian Models in Human-Agent Negotiation. Johnson, E. & Gratch, J. In Proceedings of the 21th ACM International Conference on Intelligent Virtual Agents, of IVA '21, pages 139–144, New York, NY, USA, 2021. Association for Computing Machinery. ![Comparing The Accuracy of Frequentist and Bayesian Models in Human-Agent Negotiation [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper doi bibtex @inproceedings{johnson2021,
author = {Johnson, Emmanuel and Gratch, Jonathan},
title = {Comparing The Accuracy of Frequentist and Bayesian Models in Human-Agent Negotiation},
year = {2021},
isbn = {9781450386197},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3472306.3478354},
doi = {10.1145/3472306.3478354},
booktitle = {Proceedings of the 21th ACM International Conference on Intelligent Virtual Agents},
pages = {139–144},
numpages = {6},
keywords = {Preference Modeling, negotiation, Opponent Modeling},
location = {Virtual Event, Japan},
series = {IVA '21}
}
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