Knowledge discovery for adaptive negotiation agents in e-marketplaces

被引：24
作者：
Lau, Raymond Y. K. [1 ]
Li, Yuefeng [2 ]
Song, Dawei [3 ]
Kwok, Ron Chi Wai [1 ]
机构：
[1] City Univ Hong Kong, Dept Informat Syst, Kowloon, Hong Kong, Peoples R China
[2] Queensland Univ Technol, Sch Software Engn & Data Commun, Brisbane, QLD 4001, Australia
[3] Open Univ, Knowledge Media Inst, Milton Keynes MK7 6AA, Bucks, England
来源：
DECISION SUPPORT SYSTEMS | 2008年 / 45卷 / 02期
基金：
英国工程与自然科学研究理事会;
关键词：
knowledge discovery; Bayesian learning; adaptive negotiation agents; e-marketplaces;
D O I：
10.1016/j.dss.2007.12.018
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Intelligent software agents are promising in improving the effectiveness of e-marketplaces for e-commerce. Although a large amount of research has been conducted to develop negotiation protocols and mechanisms for e-marketplaces, existing negotiation mechanisms are weak in dealing with complex and dynamic negotiation spaces often found in e-commerce. This paper illustrates a novel knowledge discovery method and a probabilistic negotiation decision making mechanism to improve the performance of negotiation agents. Our preliminary experiments show that the probabilistic negotiation agents empowered by knowledge discovery mechanisms are more effective and efficient than the Pareto optimal negotiation agents in simulated e-marketplaces. (c) 2008 Elsevier B.V All rights reserved.
引用
收藏
页码：310 / 323
页数：14
相关论文
共 31 条
[21]   A semantic-based fully visual application for matchmaking and query. refinement in B2C e-marketplaces [J].
Colucci, Simona ;
Di Noia, Tommaso ;
Di Sciascio, Eugenio ;
Donini, Francesco M. ;
Ragone, Azzurra ;
Rizzi, Raffaele .
2006 ICEC: EIGHTH INTERNATIONAL CONFERENCE ON ELECTRONIC COMMERCE, PROCEEDINGS: THE NEW E-COMMERCE: INNOVATIONS FOR CONQUERING CURRENT BARRIERS, OBSTACLES AND LIMITATIONS TO CONDUCTING SUCCESSFUL BUSINESS ON THE INTERNET, 2006, :174-184
[22]   Discovering negotiation knowledge for a probabilistic negotiation web service in e-Business [J].
Lau, RYK ;
Valdal, E .
IEEE/WIC/ACM INTERNATIONAL CONFERENCE ON WEB INTELLIGENCE (WI 2004), PROCEEDINGS, 2004, :264-270
[23]   Discovery and sharing of knowledge with self-organized agents [J].
Wickramasinghe, LK ;
Alahakoon, LD .
IEEE/WIC INTERNATIONAL CONFERENCE ON INTELLIGENT AGENT TECHNOLOGY, PROCEEDINGS, 2003, :126-132
[24]   B2C AND C2C E-MARKETPLACES A Multi-layer/Multi-agent Architecture to Support them [J].
Miguel, R. ;
Castro-Schez, J. J. ;
Vallejo, D. ;
Glez-Morcillo, C. ;
Herrera, V. .
ICEIS 2010: PROCEEDINGS OF THE 12TH INTERNATIONAL CONFERENCE ON ENTERPRISE INFORMATION SYSTEMS, VOL 4: SOFTWARE AGENTS AND INTERNET COMPUTING, 2010, :100-105
[25]   Adaptive Sampling Methods for Scaling Up Knowledge Discovery Algorithms [J].
Carlos Domingo ;
Ricard Gavaldà ;
Osamu Watanabe .
Data Mining and Knowledge Discovery, 2002, 6 :131-152
[26]   Adaptive sampling methods for scaling up knowledge discovery algorithms [J].
Domingo, C ;
Gavaldà, R ;
Watanabe, O .
DATA MINING AND KNOWLEDGE DISCOVERY, 2002, 6 (02) :131-152
[27]   An intelligent framework (O-SS-E) for data mining, knowledge discovery and business intelligence [J].
Rennolls, K .
SIXTEENTH INTERNATIONAL WORKSHOP ON DATABASE AND EXPERT SYSTEMS APPLICATIONS, PROCEEDINGS, 2005, :715-719
[28]   Multi-objective evolutionary design and knowledge discovery of logic circuits based on an adaptive genetic algorithm [J].
Zhao S. ;
Jiao L. .
Genetic Programming and Evolvable Machines, 2006, 7 (3) :195-210
[29]   Cloud-enabled e-commerce negotiation framework using bayesian-based adaptive probabilistic trust management model [J].
Rajavel, Rajkumar ;
Krishnasamy, Lalitha ;
Nagappan, Partheeban ;
Moorthy, Usha ;
Easwaramoorthy, Sathishkumar Veerappampalayam .
SCIENTIFIC REPORTS, 2025, 15 (01)
[30]   Agent-Based Recommendation in E-Learning Environment Using Knowledge Discovery and Machine Learning Approaches [J].
Shahbazi, Zeinab ;
Byun, Yung-Cheol .
MATHEMATICS, 2022, 10 (07)
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