Agent-based system for highway gasoline price negotiations

Abstract

© 2017 Association for Computing Machinery. Modern cars are getting intelligent, including ability to contact each-other and various entities in the "the outside world". At the same time, group purchases gain popularity (e.g. Groupon). Furthermore, agent-based autonomous price negotiations have been widely researched. The aim of our work is to combine these trends, to develop an agent-based system for group-style gasoline price negotiations. Specifically, the proposed system is to reward drivers for (re)fueling (and shopping) at gas stations. Negotiations concerning the reward level are to involve autonomous agents representing cars and stations. This paper describes the proposed system, its current state of implementation, and illustrates its work in a simulated environment.