|dc.description.abstract||Reverse Auction Bidding is for the purchase of goods or services that has developed in line with the development of the World Wide Web. A number of agencies utilize Reverse Auction Bidding as their procurement tool. In an RAB, human bidders bid against each other by reduce their bid price.
It is believed the computer bidder machine can be introduced into reverse auction bidding to compete against human beings. However, the reaction time of a computer machine is much faster than a human. This research is looking to develop the algorithm for the computer machine to follow, so that when the computer is bidding against a human being, people cannot determine that it is a machine bidding in the game.
This research is the 26th case study of Reverse Auction Bidding in Texas A&M University, Construction Science department. The research has analyzed the existing data which collected from previous RAB experiments. The results show two rules can be setup for computer bidder machines. Rule 1, when the computer is bidding during the segment 1 of each section, it shall randomly select from 2 seconds to 23 seconds as its time-intervals. Rule 2, when the computer is bidding during the segment 2 of each section, it shall randomly select from 2 seconds to 9 seconds as its time-intervals.||