Abstract
With development of Internet and technology, the traditional market has become an electronic market, and the value of trading has become more than a traditional market. The B2B e-commerce has been grown rapidly, and more businesses have used the e-commerce for selling and buying goods or services. Consequently, most of the plastic e-marketplaces only allow the buyer to search the product and then contact the seller by email or phone. The e-marketplace needs an automated or intelligent agent in order to conduct automated negotiations between the buyer and the seller. The negotiation agents allow traders to negotiate by exchanging electronic messages in a multi-agent system. In addition, most of the e-marketplace does not support the reserved price range for the buyer in decision making and does not filter the search list based on the buyer's conditions. This paper implements an automated negotiation with the estimated reserved price range in the negotiation for the buyer and seller after the search list filters the product information based on the buyer's conditions in plastic market. Also, the efficiency of the simulated system in the plastic market is demonstrated by a series of simulations in which the result is negotiation and non-negotiation trading.