Ileladewa Adeoye Abiodun and Cheng Wai Khuen
A PreferenceBased MultiAgent Data Mining Framework for Social Network Service Users&039; Decision Making
1541 - 1548
2012
6
11
International Journal of Information and Communication Engineering
https://publications.waset.org/pdf/11380
https://publications.waset.org/vol/71
World Academy of Science, Engineering and Technology
MultiAgent Systems (MAS) emerged in the pursuit to improve our standard of living, and hence can manifest complex human behaviors such as communication, decision making, negotiation and selforganization. The Social Network Services (SNSs) have attracted millions of users, many of whom have integrated these sites into their daily practices. The domains of MAS and SNS have lots of similarities such as architecture, features and functions. Exploring social network users behavior through multiagent model is therefore our research focus, in order to generate more accurate and meaningful information to SNS users. An application of MAS is the eAuction and eRental services of the Universiti Cyber AgenT(UniCAT), a Social Network for students in Universiti Tunku Abdul Rahman (UTAR), Kampar, Malaysia, built around the Belief DesireIntention (BDI) model. However, in spite of the various advantages of the BDI model, it has also been discovered to have some shortcomings. This paper therefore proposes a multiagent framework utilizing a modified BDI model BeliefDesireIntention in Dynamic and Uncertain Situations (BDIDUS), using UniCAT system as a case study.
Open Science Index 71, 2012