SimMarket: Multiagent-Based Customer Simulation and Decision Support for Category Management
SimMarket: Multiagent-Based Customer Simulation and Decision Support for Category Management
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SimMarket：基于多代理的客户模拟和品类管理决策支持
DOI：
10.1007/978-3-540-39869-1_7
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发表时间：
2003
期刊：
影响因子：
5
通讯作者：
B. Stahmer
中科院分区：
文献类型：
--
作者：
A. Schwaiger;B. Stahmer
商店中商品的最佳分类和单个商品的定价的关键是对潜在客户行为的了解。在本文中，我们提出了一个基于多智能体系统的个人客户仿真，该系统将重要因素和外部影响作为单个智能体进行建模。一个代理可以是几个代理组的成员，这些代理组表示为holons。我们将每个客户建模为一个根据客户个人偏好行为的代理。这些偏好是从真实世界的数据中提取出来的，比如客户卡、销售数据和访谈。顾客的购物行为在行为网络（贝叶斯网络）中表示，该网络存储在顾客代理的知识库中。一组有代表性的顾客的行为会导致整体销售数据，从而支持以何种价格销售什么产品的决策。所提出的概念是基于DACOS的Joachim Hertel和DFKI的Jorg Siekmann的想法。它们作为原型实现，在进一步评估之后，为零售商使用的新系统和最终系统提供基础。
A key to an optimal assortment of goods and pricing of individual items in a store is the knowledge about potential customer’s behaviour. In this paper we present the simulation of individual customers based on a multiagent system which models the important elements and external influences as single agents. An agent can be member of several agent groups which are represented as holons. We model each individual customer as an agent which behaves according the customer’s individual preferences. These preferences are extracted from real world data, such as customer cards, sales data and interviews. The customer’s shopping behaviour is represented in behaviour networks (Bayesian nets) which are stored in the customer agents’ knowledge bases. The behaviour of a representative group of customers induces the overall sales figures, which support decisions what to sell at which price. The presented concepts are based on ideas of Joachim Hertel from DACOS and Jorg Siekmann from the DFKI. They are implemented as a prototype, which provides, after further evaluation, the basis for a new and final system to be used by retailers.