Topic
Abstract
This is an extension from a selected paper from JSAI2019. There are a number of research challenges in the field of Automated Negotiation. The Ninth International Automated Negotiating Agent Competition encourages participants to develop effective negotiating agents, which can negotiate with multiple opponents more than once. This paper discusses research challenges for such negotiations as well as presenting the competition set-up and results. The results show that winner agents mostly adopt hybrid bidding strategies that take their opponents’ preferences as well as their strategy into account.
Bibtex info
@inproceedings{aydogan_anac_2020,
address = {Cham},
title = {{ANAC} 2018: {Repeated} {Multilateral} {Negotiation} {League}},
isbn = {978-3-030-39878-1},
abstract = {This is an extension from a selected paper from JSAI2019. There are a number of research challenges in the field of Automated Negotiation. The Ninth International Automated Negotiating Agent Competition encourages participants to develop effective negotiating agents, which can negotiate with multiple opponents more than once. This paper discusses research challenges for such negotiations as well as presenting the competition set-up and results. The results show that winner agents mostly adopt hybrid bidding strategies that take their opponents' preferences as well as their strategy into account.},
booktitle = {Advances in {Artificial} {Intelligence}},
publisher = {Springer International Publishing},
author = {Aydoğan, Reyhan and Fujita, Katsuhide and Baarslag, Tim and Jonker, Catholijn M. and Ito, Takayuki},
editor = {Ohsawa, Yukio and Yada, Katsutoshi and Ito, Takayuki and Takama, Yasufumi and Sato-Shimokawara, Eri and Abe, Akinori and Mori, Junichiro and Matsumura, Naohiro},
year = {2020},
pages = {77--89},
}a
Publication type
Conference paper
Year
2020