ANAC 2018: Repeated Multilateral Negotiation League

Reyhan AYDOGAN; Katsuhide FUJITA; Tim BAARSLAG; Catholijn M. JONKER; Takayuki ITO

doi:10.11517/pjsai.JSAI2019.0_2F1E301

33rd (2019)

Session ID : 2F1-E-3-01

DOI https://doi.org/10.11517/pjsai.JSAI2019.0_2F1E301

Conference information

Host: The Japanese Society for Artificial Intelligence

Name : The 33rd Annual Conference of the Japanese Society for Artificial Intelligence, 2019

Number : 33

Location : [in Japanese]

Date : June 04, 2019 - June 07, 2019

ANAC 2018: Repeated Multilateral Negotiation League

Reyhan AYDOGAN, *Katsuhide FUJITA, Tim BAARSLAG, Catholijn M. JONKER, Takayuki ITO

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Keywords: Automated Negotiation, AI Competition, Repeated Multilateral Negotiation

CONFERENCE PROCEEDINGS FREE ACCESS

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Abstract

There are a number of research challenges in the field of Automated Negotiation. The Ninth International Automated Negotiating Agent Competition aimed to encourage participants to develop effective negotiating agents, which can negotiate with multiple opponents more than once. This paper discusses essential research challenges for such negotiations as well as presenting the competition set-up and results. Results showed that winner agents mostly adopt hybrid bidding strategies and take their opponents' preferences as well as their strategy into account.

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