Proposal of Marge Method for Transportation Plans using Cooperative Game and Multi-Issue Negotiation

Abstract

In this paper, we propose a new method for generating overall optimized transportation plans using inter-AI cooperative technology. The proposed method encourages collective cooperative behavior by multi AI agents to achieve more socially overall optimized transportation plans which cannot be achieved by an individual company. In this method, a new overall optimized set of transportation plan is generated from a given set of transportation plans which are planned by each company. The method is formed as a kind of cooperative game played by logistics companies, transportation companies and shippers. This overall optimization process requires adjusting conditions such as pickup/arrival time or price among players. Those processes are very complicate and time consuming for humans. We proposed method adapt to logistics problems possible by multi AI agents which automatically negotiate technique for agreement each other.