The user preference learning for multi-agent based on neural network in ubiquitous computing environment

Authors:
Eungyeong Kim;Hyogun Yoon;Malrey Lee;Thomas M. Gatton
Affiliations:
School of Electronics & Information Engineering, ChonBuk National University, Jeonju, Chon Buk, South Korea;School of Electronics & Information Engineering, ChonBuk National University, Jeonju, Chon Buk, South Korea;School of Electronics & Information Engineering, ChonBuk National University, Jeonju, Chon Buk, South Korea;School of Engineering and Technology, National University, La Jolla, CA
Venue:
KES-AMSTA'08 Proceedings of the 2nd KES International conference on Agent and multi-agent systems: technologies and applications
Year:
2008

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Abstract

In order to provide users with intelligent services, ubiquitous computing needs to make user situation analysis in consideration of users' movement. Thus, the present study proposed the multi-agent model for users to share context information and for user situation analysis and context learning using Bayesian Neural Network. The proposed user context structure of multi-agent distinguishes between dynamic and static contexts according to the volume of context change, and defines correlations among objects. Therefore, multi-agent can be aware of users' situation.