An Auction-based Negotiation Model in Intelligent Multi-agent System

In an intelligent and autonomous multi-agent system, agents often need to work together and achieve common and individual goals under the environment where are limited or scarce resources. How to allocate these resources efficiently is critical in proceeding of cooperation and competition. This paper advances and investigates a mathematically computable approach to solve the problems by introducing auction theory. An agent-based multi-item auction model is studied as negotiation method so as to get some precious resources for buyer agents and allocate them for vendor agents. Some attributes and impacts for the agents about parameters are showed through simulating experience such as buying power, item number required by buyer agent, number of buyer agents, rules of auction and so on. All this is beneficial for the future mechanisms design both in agent-based software engineering and various distributed system, especially Internet-based commerce applications