Diamah, Aodah; Wagner, Michael; van den Briel, Menkes
Offer generation is an important mechanism in automated negotiation, in which a negotiating agent needs to select bids close to the opponent preference to increase their chance of being accepted. The existing offer generation approaches are either random, require partial knowledge of opponent
preference or are domain-dependent. In this paper, we investigate and compare two vector similarity functions for generating offer vectors close to opponent preference. Vector similarities are not...[Show more]
Items in Open Research are protected by copyright, with all rights reserved, unless otherwise indicated.