Pawan Poojary, Randall Berry. Welfare Effects of Ex-Ante Bias and Tie-Breaking Rules on Observational Learning with Fake Agents. In 21st International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks, WiOpt 2023, Singapore, August 24-27, 2023. pages 334-341, IEEE, 2023. [doi]
@inproceedings{PoojaryB23-0,
title = {Welfare Effects of Ex-Ante Bias and Tie-Breaking Rules on Observational Learning with Fake Agents},
author = {Pawan Poojary and Randall Berry},
year = {2023},
doi = {10.23919/WiOpt58741.2023.10349844},
url = {https://doi.org/10.23919/WiOpt58741.2023.10349844},
researchr = {https://researchr.org/publication/PoojaryB23-0},
cites = {0},
citedby = {0},
pages = {334-341},
booktitle = {21st International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks, WiOpt 2023, Singapore, August 24-27, 2023},
publisher = {IEEE},
isbn = {978-3-903176-55-3},
}