Generating Offers with Cosine Similarity in Multi-Attribute Negotiation

Aodah Diamah, Michael Wagner

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    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 languageEnglish
    Title of host publicationGenerating Offers with Cosine Similarity in Multi-Attribute Negotiation
    Place of PublicationIpswich, Qld, Australia
    PublisherEBSCO Publishing
    Pages4pp
    Editionpeer reviewed
    Publication statusPublished - 2015
    Event9th International Conference on Information Technology in Asia, CITA 2015 - Kuching, Sarawak, Malaysia
    Duration: 1 Jan 2015 → …

    Conference

    Conference9th International Conference on Information Technology in Asia, CITA 2015
    Period1/01/15 → …
    Other4-6 August 2015

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