AhBuNe Agent

AhBuNe Agent: Winner of the Eleventh International Automated Negotiating Agent Competition (ANAC 2020)

Yildirim, Ahmet Burak (Özyeğin University)
Sunman, Nezih (Özyeğin University; Siemens AS)
Aydoğan, Reyhan (TU Delft Interactive Intelligence; Özyeğin University)

Hadfi, Rafik (editor)
Ito, Takayuki (editor)
Arisaka, Ryuta (editor)
Aydoğan, Reyhan (editor)

2023

The International Automated Negotiating Agent Competition introduces a new challenge each year to facilitate the research on agent-based negotiation and provide a test benchmark. ANAC 2020 addressed the problem of designing effective agents that do not know their users’ complete preferences in addition to their opponent’s negotiation strategy. Accordingly, this paper presents the negotiation strategy of the winner agent called “AhBuNe Agent”. The proposed heuristic-based bidding strategy checks whether it has sufficient orderings to reason about its complete preferences and accordingly decides whether to sacrifice some utility in return for preference elicitation. While making an offer, it uses the most-desired known outcome as a reference and modifies the content of the bid by adopting a concession-based strategy. By analyzing the content of the given ordered bids, the importance ranking of the issues is estimated. As our agent adopts a fixed time-based concession strategy and takes the estimated issue importance ranks into account, it determines to what extent the issues are to be modified. The evaluation results of the ANAC 2020 show that our agent beats the other participating agents in terms of the received individual score.

Agent competition
Automated negotiation
Negotiation strategy
Partial preference ordering

http://resolver.tudelft.nl/uuid:da467e66-9eeb-4ce2-93c4-ac0a66143f59

https://doi.org/10.1007/978-981-99-0561-4_6

Springer, Singapore

2023-09-21

978-981-99-0560-7

Recent Advances in Agent-Based Negotiation: Applications and Competition Challenges

13th International Workshop on Automated Negotiations, ACAN 2022 held in conjunction with 31st International Joint Conference on Artificial Intelligence, IJCAI 2022, 2022-07-22 → 2022-07-29, Vienna, Austria

Studies in Computational Intelligence, 1860-949X, 1092

Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public

Institutional Repository

conference paper

© 2023 Ahmet Burak Yildirim, Nezih Sunman, Reyhan Aydoğan