Browse > Article

Intelligent Agent based on Bayesian Network for Smartphone  

Han Sang-Jun (연세대학교 컴퓨터과학과)
Cho Sung-Bae (연세대학교 컴퓨터과학과)
Publication Information
Journal of KIISE:Computing Practices and Letters / v.11, no.1, 2005 , pp. 81-91 More about this Journal
Abstract
Today, mobile phones have become an essential item for man-to-man communication. As more people use mobile phones, various services based on mobile phone networks and high-end devices have been developed. In addition, with the growth of the concept of ubiquitous computing, there are many ongoing studies on novel and useful services in smartphone. In this paper, for personalized service in smartphone we propose an intelligent agent that uses user modeling based on bayesian network and rule based service selection mechanism. It infers the user's status such as his current affect, how he is busy, and how someone is familiar with him from personal information and communication history using bayesian network and Provides appropriate services on the basis of the inferred information. We apply it to some realistic situation to confirm the usefulness our proposed agent.
Keywords
intelligent agents; bayesian network; smartphone;
Citations & Related Records
연도 인용수 순위
  • Reference
1 Pattie Maes, 'Agents that Reduce Work and Information Overload,' Communications of the ACM, vol. 37, no. 7, 1994   DOI   ScienceOn
2 T.M. Mitchell, R. Caruana, D. Freitag, J. McDermott and D. Zabowski, 'Experience With a Learning Personal Assistant,' Communications of the ACM, vol. 37, no. 7, pp. 80-91, 1994   DOI   ScienceOn
3 S. Schiaffino and A. Amandi, 'On the Design of a Software Secretary,' In Proceedings of the Argentine Symposium on Artificial Intelligence, pp. 218-230, 2002
4 A. Zipf, 'User-Adaptive Maps for Location Based Services for Tourism,' In Proceedings of 9th International Conference on Information and Communication Technologies in Tourism, 2002
5 E. Charniak, 'Bayesian networks without tears,' AI Magazine, vol. 12, no. 4, pp. 50-63, 1991
6 T. Stephenson, 'An introduction to Bayesian network theory and usage,' IDIAP-RR00-03, 2000
7 R. Picard, 'Affective Computing,' Media Laboratory Perceptual Computing TR 321, MIT Media Laboratory, 1995
8 Microsoft, Windows Mobile Software for Smartphone http://www.microsoft.com/windowsmobile/products/smartphone/default.mspx, 2003
9 G. Boone, 'Concept Features in Re:Agent, an Intelligent Email Agent,' In Proceedings of the 2nd International Conference on Autonomous Agents, pp. 141-148, 1998   DOI
10 D. Boyd and J. Potter, 'Social Network Fragments: An Interactive Tool for Exploring Digital Social Connections,' In Proceedings of SIGGRAPH, pp. 27-41, San Diego, CA, July 2003   DOI
11 정보통신부, '전기통신에 관한 연차 보고서', http://www.mic.go.kr, 2003
12 E. Horvitz, J. Breese, D. Heckerman, D. Hovel and K. Rommelse. 'The Lumiere project: Bayesian User Modeling for Inferring The Goals and Needs of Software Users,' In Proceedings of the Fourteenth Conference on Uncertainty in Artificial Intelligence, pp. 256-265, Madison, WI, 1998
13 J. Liu, C.K.Wong and K.K.Hui, 'An Adaptive User Interface Based on Personalized Learning,' IEEE Intelligent Systems, vol. 18, no. 2, pp. 52-84, 2003   DOI
14 F. Sparacino, 'Sto(ry)chastics: a Bayesian Network Architecture for User Modeling and Computational Storytelling for Interactive Spaces,' In Proceedings of the 5th International Conference on Ubiquitous Computing, pp. 54-72, Seattle, WA, October 2003
15 International Data Corporation, 'Worldwide Mobile Phone QView,' 2003