Title :
Influencing Models in Automated One-to-Many Negotiation
Author :
Kapani, Kapil ; Gupta, Arobinda
Author_Institution :
Sch. of Inf. Technol., Indian Inst. of Technol., Kharagpur
Abstract :
One-to-many negotiation is a type of automated negotiation where one agent negotiates with multiple opponents. We consider the case of one seller agent negotiating with multiple buyer agents for the sale of a single copy of a product in an e-commerce scenario. The negotiation with each buyer agent is done by a sub-seller agent under the control of the seller agent. Influencing among these sub-seller agents in a one-to-many negotiation can result in better gain. In this paper, we propose an influencing model for one-to-many negotiation. We first introduce a new strategy for the buyer based on the keenness of the buyer to make a deal. We next propose a strategy for influencing among these sub-seller agents. We also evaluate the performance of the proposed strategy extensively to show that better gain can be achieved by influencing.
Keywords :
electronic commerce; software agents; automated one-to-many negotiation; e-commerce scenario; subseller agent; Application software; Artificial intelligence; Automatic control; Counting circuits; Information technology; Marketing and sales; Performance gain; Software agents; Thin film transistors; Yarn; Influencing; Keenness; Negotiation; One-to-many;
Conference_Titel :
Asia-Pacific Services Computing Conference, 2008. APSCC '08. IEEE
Conference_Location :
Yilan
Print_ISBN :
978-0-7695-3473-2
Electronic_ISBN :
978-0-7695-3473-2
DOI :
10.1109/APSCC.2008.185