iBundler:: An agent-based decision support service for combinatorial negotiations

被引：0

作者：

Giovannucci, A ^{[1
]}

Rodríguez-Aguilar, JA ^{[1
]}

Cerquides, J ^{[1
]}

Reyes, A ^{[1
]}

Noria, FX ^{[1
]}

机构：

[1] CSIC, IIIA, Bellaterra, Spain

来源：

PROCEEDING OF THE NINETEENTH NATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND THE SIXTEENTH CONFERENCE ON INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE | 2004年

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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 multiple items. In this paper we describe iBundler, an agent-aware negotiation service to solve the winner determination problem considering buyers' and providers' constraints and preferences.

引用

页码：1012 / 1013

页数：2

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