Author
Mell, J., Gratch, J., Aydoğan, Reyhan, Baarslag, T., Jonker, C. M.
Publication Date
2019
Publication Place
-
IEEE
Subject
Human agent interaction, Negotiation, Empirical results in HCI
Type
Document
Language
English
Digital
Yes
Manuscript
No
Library
Özyeğin University
Library Asset ID
978-1-7281-3888-6
Record ID
243ed763-5a40-480b-bebc-f90d64629e0d
Library Location
Computer Science
Date
2019
Notes
Netherlands Organization for Scientific Research (NWO) ; United States Department of Defense Air Force Office of Scientific Research (AFOSR)
Sample Text
We present the results of the 2nd Annual Human-Agent League of the Automated Negotiating Agent Competition. Building on the success of the previous year's results, a new challenge was issued that focused exploring the likeability-success tradeoff in negotiations. By examining a series of repeated negotiations, actions may affect the relationship between automated negotiating agents and their human competitors over time. The results presented herein support a more complex view of human-agent negotiation and capture of integrative potential (win-win solutions). We show that, although likeability is generally seen as a tradeoff to winning, agents are able to remain well-liked while winning if integrative potential is not discovered in a given negotiation. The results indicate that the top-performing agent in this competition took advantage of this loophole by engaging in favor exchange across negotiations (cross-game logrolling). These exploratory results provide information about the effects of different submitted "black-box" agents in humanagent negotiation and provide a state-of-the-art benchmark for human-agent design.
DOI
10.1109/ACII.2019.8925437
