DocumentCode :
2389734
Title :
A computational model for online agent negotiation
Author :
Huang, Pu ; Sycara, Katia
Author_Institution :
Center for Automated Learning & Discovery, Carnegie Mellon Univ., Pittsburgh, PA, USA
fYear :
2002
fDate :
7-10 Jan. 2002
Firstpage :
438
Lastpage :
444
Abstract :
Agent-based online negotiation technology has the potential to radically change the way e-business is conducted. We present a formal model for autonomous agents to negotiate on the Internet. In our model, the negotiation process is driven by the internal beliefs of participating agents. We empirically identify the relative strength of a group of belief updating methods and show how an agent can change its behavior by adjusting some critical parameters. The advantage of our model is that it is flexible and easy to implement. To show different "personalities", one only needs to plug in suitable "subjective beliefs" to one\´s agents. Our results provide directive reference on how these beliefs should be chosen and what values of the related parameters should be assigned.
Keywords :
Internet; negotiation support systems; software agents; user modelling; Internet; agent-based online negotiation technology; autonomous agents; belief updating methods; computational model; critical parameters; e-business; formal model; internal beliefs; negotiation process; online agent negotiation; participating agents; personalities; subjective beliefs; Autonomous agents; Computational modeling; Electronic commerce; Game theory; Humans; Internet; Multiagent systems; Plugs; Software agents; Uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
System Sciences, 2002. HICSS. Proceedings of the 35th Annual Hawaii International Conference on
Print_ISBN :
0-7695-1435-9
Type :
conf
DOI :
10.1109/HICSS.2002.993892
Filename :
993892
Link To Document :
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