Argument-based negotiation strategy based on adaptive PBIL for resolving conflicts in supply chain collaboration
The multi-agent argument-based negotiation is used to resolve the conflicts in supply chain collaboration, and to change the preferences of negotiators in dynamic environment in order to enhance the agent's intelligence and adaptivity. We learn opponents' preferences by PBIL and modify PBIL's learning rate by adding environmental factor to improve PBIL's adaptivity. We verify the effectiveness of PBIL in negotiation and compare PBIL with adaptive PBIL by an example. The results show that PBIL could effectively resolve the conflicts in supply chain collaboration, adaptive PBIL could get a stable solution in dynamic environment and promote the supply chain collaboration.