We describe the strategy of our negotiating agent, Nice Tit for Tat Agent, which reached the finals of the 2011 Automated Negotiating Agent Competition. It uses a Tit for Tat strategy to select its offers in a negotiation, i.e.: initially it cooperates with its opponent, and in the following rounds of negotiation, it responds in kind to the opponent's actions. We give an overview of how to implement such a Tit for Tat strategy and discuss its merits in the setting of closed bilateral negotiation.
Nice Tit-For-Tat agent REF uses learning techniques in order to improve it.
A Tit for Tat Negotiation Strategy for Real-Time Bilateral Negotiations
Complex Automated Negotiations
Psychology Computer Science