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A multi-agent based user context Bayesian neural network analysis system

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Abstract

The increasing user mobility demands placed upon IT services necessitates an environment that enables users to access optimal services at any time and in any place. This study presents research conducted to develop a system that is capable of analyzing user IT service patterns and tendencies and provides the necessary service resources by sharing each user’s context information. First, each user’s context information is gathered to provide the multi-agent software training data necessary to describe user operations in a hybrid peer-to-peer (P2P) structured communication environment. Next, the data collected about each user’s mobile device is analyzed through a Bayesian based neural network system to identify the user’s tendency and extract essential service information. This information provides a communication configuration allowing the user access to the best communication service between the user’s mobile device and the local server at any time and in any place, thereby enhancing the ubiquitous computing environment.

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Authors and Affiliations

  1. Center for Advanced Image and Information Technology, ChonBuk National University, 664-14, 1Ga, DeokJin-Dong, JeonJu, ChonBuk, 561-756, South Korea

    Hyogun Yoon & Malrey Lee

  2. National University, 11255 North Torrey Pines Road, La Jolla, CA, 92037, USA

    Thomas M. Gatton

Authors
  1. Hyogun Yoon
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  2. Malrey Lee
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  3. Thomas M. Gatton
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Correspondence to Malrey Lee.

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Yoon, H., Lee, M. & Gatton, T.M. A multi-agent based user context Bayesian neural network analysis system. Artif Intell Rev 34, 261–270 (2010). https://doi.org/10.1007/s10462-010-9174-x

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  • DOI: https://doi.org/10.1007/s10462-010-9174-x

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