[13] presents a logic-based approach to multi-agent negotiation. The advantages of such approach stem from the declarativeness of the model, which allows to formulate and prove some interesting properties (such as termination and convergence of a protocol), to the possibility of identifying and combining varieties of agents, implementing different negotiation policies, and of forecasting the behavior of a system with no need for simulation. The work introduces a language for negotiation that allows to cater for two agent dialogues, in a one-to-one negotiation setting. Auctions are an example of one-to-many negotiation mechanisms, where agents try to maximize their profit by buying items in competition with other parties, or selling them to crowds of bidders. In this paper, we show how the negotiation framework of [13] can be extended to accommodate a suitable negotiation language and coordination mechanism (in the form of a shared blackboard) to tackle one-to-many negotiation.