Abstract—There is an increasing demand to monitor and bid concurrently in multiple English auctions in order to procure the best deal for the desired products. This paper proposes a scheme to incorporate human intelligence and perspective (cognitive) in agents for bidding in multiple concurrent English auctions in mobile E-commerce. The bidder mobile agent is embedded with intelligence to take decisions on behalf of a bidder with regard to either continue bidding or withdraw from auctions. The agent ensures that the bidder receives an appropriate number of desired products from one of the participated relevant auction site that has better chances of winning with satisfaction. Dynamic E-market and mobile bidder scenarios are simulated to train the cognitive agents for enabling them to take decisions on behalf of the bidder in real time. The proposed scheme performs better than the existing bidding strategy (based on limited E-market parameters) in terms of best possible bid value, bidder satisfaction, and budget.
Index Terms—BDI agent, mobile e-Commerce, mobile bidders.
N. S. Sidnal is with the Department of Computer Science and Engineering, KLESCET, Belgaum (e-mail firstname.lastname@example.org)
S. S. Manvi is with Department of Electronics and Communication Engineering, Reva ITM, Bangalore.
Cite: Nandini Sidnal and S. S. Manvi, "Automated Bidding in English Auctions Using Cognitive Agents in Mobile e-Commerce," International Journal of Information and Education Technology vol. 2, no. 2, pp. 128-134, 2012.