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An Adaptive Agent Society for Environmental Scanning through the Internet

  • Rey-Long Liu
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2132)

Abstract

Business managers need to promptly respond to environmental changes. Environmental scanners are thus important in discovering and monitoring the information of interest (IOI). In this paper, we explore continuous and resource-bounded environmental scanning (CRBES). The scanner continuously scans for new IOI without consuming too much resource (e.g. bandwidths of computer networks and services of information servers). In that case, new IOI may be discovered in a complete and timely manner without making the related networks and servers too exhausted to provide services. We develop a multiagent framework ACES to achieve CRBES. The agents form an adaptive society by adapting their population and specialty to information needs of individual users, resource limitation of environmental scanning, distribution of IOI in the environments, and update behaviors of the IOI. The delivery of ACES to businesses may constantly provide timelier IOI without causing serious problems to the Intranet and the Internet communities.

Keywords

Decision Support System MultiAgent System Agent Society Information Space User Interest 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2001

Authors and Affiliations

  • Rey-Long Liu
    • 1
  1. 1.Department of Information ManagementChung Hua UniversityHsinChuTaiwan, R.O.C.

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