Multi-Issue Negotiation Protocol with Pre-Domain Narrowing

Consensus building among agents is crucial in multi-agent systems because each agent acts independently according to its utility function, and conflict can occur. Therefore, automated negotiation an essential technology for efficiently resolving conflicts forming consensuses while also maintaining agents’ privacy. As the domain be negotiated large, computational cost of reaching a consensus increases agreement rate decreases. Some protocols have been proposed wherein mediator collects information creates multiple alternatives agreements handle large-scale multi-issue negotiations. However, such protocols, limitation placed on privacy all disclose their private by following pre-decided rules. In this study, we propose protocol with predomain-narrowing phase enable efficient negotiations domains which maintain that should not opponents or mediator. The divides process into main phase. protocol, parts subject are first narrowed upon, then performed. We two narrowing methods: issue- option-narrowing. Further, naive strategies considering perform comparative simulation experiments between baseline without domain-narrowing experimental results show achieves higher rates less time than baseline.