Closing Price Prediction for Auctions in Mobile E-commerce- a Cognitive Agent Based Approach

Bidding in e-auctions in mobile environment is a challenging task as the bidder is mobile that may cause disconnections and may not be acquainted with the emarket environment that hosts multiple concurrent e-auctions. One of the ways to ensure winning a bid is to predict the closing price of considered relevant auctions to decide the bidding strategies. Closing price prediction of an auction depends on market parameters and bidders behavior. This paper presents a cognitive agent based model based on Belief Desire Intention (BDI) architecture to predict the closing price on behalf of the bidder on every round of an auction (English auctions). The model is simulated to test the performance measures. A common platform of bidding strategies are considered for comparing the proposed model with grey theory based closing price prediction model. The results demonstrated that the proposed model performed better than the grey model.