Negotiation; e-Commerce; Open agent systems; Scalability; Artificial intelligence; Agents; Integer programming; Optimization

An Agent Architecture for Simultaneous Bilateral Negotiations

Publication Type:

Conference Paper

Source:

8th European Workshop on Multi-Agent Systems, Paris (2010)

Abstract:

In this paper we introduce an agent architecture for joint action negotiation among several agents in complex environments and with negotiation time bounds. The architecture is based on a graded BDI model and on an information-based negotiation model. It is being tested using DipGame (http://www.dipgame.org).

Enacting agent-based services for automated procurement

Publication Type:

Journal Article

Source:

Engineering Applications of Artificial Intelligence, Volume 21, Issue 2, p.183-199 (2008)

Keywords:

Negotiation; e-Commerce; Open agent systems; Scalability; Artificial intelligence; Agents; Integer programming; Optimization

Abstract:

Negotiation events in industrial procurement involving multiple, highly
customisable goods pose serious challenges to buying agents when trying
to determine the best set of providing agents’ offers. Typically, a
buying agent's decision involves a large variety of constraints that
may involve attributes of a very same item as well as attributes of
different, multiple items. In this paper we present iBundler,
an agent-aware service offered to buying agents to help them determine
the optimal bundle of received offers based on their business rules. In
this way, buying agents are relieved with the burden of solving too
hard a problem and concentrate on strategic issues. iBundler is
intended as a negotiation service for buying agents and as a winner
determination service for reverse combinatorial auctions with side
constraints. Furthermore, we assess the computational cost added by
employing agent technology in the development of iBundler to characterise the type of negotiation scenarios that it can acceptably handle.

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