We describe the strategy used by our agent, IAMhaggler, which finished in third place in the 2010 Automated Negotiating Agent Competition. It uses a concession strategy to determine the utility level at which to make offers. This concession strategy uses a principled approach which considers the offers made by the opponent. It then uses a Pareto-search algorithm combined with Bayesian learning in order to generate a multi-issue offer with a specific utility as given by its concession strategy.
|Title of host publication||New Trends in Agent-Based Complex Automated Negotiations|
|Editors||Takayuki Ito, Minjie Zhang, Valentin Robu, Shaheen Fatima, Tokuro Matsuo|
|Number of pages||8|
|Publication status||Published - 1 Jan 2012|
|Name||Studies in Computational Intelligence|