Bargaining on an Internet Agent-based Market: Behavioral vs. Optimizing Agents

被引：11
作者：
Laurent Deveaux
Corina Paraschiv
Mathieu Latourrette
机构：
[1] École Normale Supérieure de Cachan,Groupe de recherche sur le Risque, l'Information et la Décision
[2] Laboratoire d'informatique,undefined
[3] de robotique et de micro-électronique,undefined
来源：
Electronic Commerce Research | 2001年 / 1卷 / 4期
关键词：
software agent; negotiation; optimization; behavioral rules; simulations;
D O I：
10.1023/A:1011561502913
中图分类号：
学科分类号：
摘要：
In this paper, we analyze an Internet agent-based market where non-cooperative agents using behavioral rules negotiate the price of a given product in a bilateral and sequential manner. In this setting, we study the optimal decision-making process of a buying agent that enters the market. Our approach is based on Negotiation Analysis (Raiffa, 1982; Sebenuis, 1992) and we consider that the optimizing buying agent maximizes her discounted expected utility using subjective probabilities. The optimal decision-making process of the buying agent is treated as a stochastic control problem that can be solved by dynamic programming. Three types of behavioral agents are studied, namely conceder agents, boulware agents and imitative agents. A set of simulations is undertaken in order to predict the average outcome in a negotiation process for different parameters of the optimizing buying agent and for the three possible selling agents' behaviors. Finally, we compare the performance of the optimizing agent with that of behavioral buying agents.
引用
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页码：371 / 401
页数：30
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