Abstract
Automated multi-attribute negotiation can be viewed as the search for a solution that satisfies two conflicting preferences. It is challenging not only because of the large multidimensional search space, but also when preferences of negotiating parties are kept private. Under such condition, negotiating agents must approximate their opponents preferences. To this end, we employ cosine similarity to generate offers approximately close to the opponent preference. Offers received from the opponent are regarded as its partial preference. Hence, the more similar an offer to the opponents most recent offer, the greater the chance that the offer will be accepted. To find an offer close to the opponent preference, the agent searches for the offer within its accepted utility range that has the highest cosine similarity to the opponents last offer. Our experiments show that generating offers with cosine similarity leads to high agreement rate and mutual gain for the negotiating agents.
Original language | English |
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Title of host publication | Generating Offers with Cosine Similarity in Multi-Attribute Negotiation |
Place of Publication | Ipswich, Qld, Australia |
Publisher | EBSCO Publishing |
Pages | 4pp |
Edition | peer reviewed |
Publication status | Published - 2015 |
Event | 9th International Conference on Information Technology in Asia, CITA 2015 - Kuching, Sarawak, Malaysia Duration: 1 Jan 2015 → … |
Conference
Conference | 9th International Conference on Information Technology in Asia, CITA 2015 |
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Period | 1/01/15 → … |
Other | 4-6 August 2015 |