Searching for a Consensus Agreement for Multilateral Multi-Issue Automated Negotiation
Mukun Cao, Shengjie Dang · 2022
In this paper, we propose a multilateral multi-issue automated negotiation model that aims to search for a consensus agreement. Multilateral multi-issue automated negotiation is more complicated compared with bilateral negotiations. However, most of the existing multilateral negotiations are still the form of bilateral negotiations. This method usually performs with low transaction efficiency and high cost and cannot meet the complicated scenario requirements, in which multiple agents seek a consensus agreement. Therefore, we propose a multilateral multi-issue automated negotiation model based on the multi-dimensional Pareto front. This method takes the pareto optimality of negotiation offers, which can effectively solve the multilateral multi-issue automated negotiation problems.