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An Adaptive Negotiation Strategy for Real-Time Bilateral Negotiations

2014; Springer Nature; Linguagem: Inglês

10.1007/978-4-431-54758-7_10

1860-9503

Alexander Dirkzwager, Mark Hendrikx,

Artificial Intelligence in Law

Each year the Automated Negotiating Agent Competition (ANAC) introduces an increasingly complex negotiation setting to stimulate the development of negotiation strategies. This year, the competition featured a real-time bilateral negotiation setting with private reservation values and time-based discounts. This work introduces the strategy of one of the top three finalists: The Negotiator Reloaded (TNR). TNR is the first ANAC agent created using the BOA framework, a framework that allows separately developing and optimizing the components of a negotiation strategy. The agent uses a complex strategy that takes the opponent's behavior and the domain characteristics into account. This work presents the implementation, optimization, and evaluation of the strategy.