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Agent Based Architecture for Internet Marketing

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Advances in Artificial Intelligence. PRICAI 2000 Workshop Reader (PRICAI 2000)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2112))

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Abstract

In the current highly competitive era of e-commerce, many firms are focusing their attention on forging and nurturing customer relationships. Businesses not only need to discover and capitalize actionable marketing intelligence but they also need to manipulate this valuable information to improve their relationship with their customer base. In this paper we describe an agent architecture paired with web mining techniques that provides personalized web sessions to nurture customer relationship by:

  • Merging information from heterogeneous sources.

  • Dealing with change in a dynamic environment.

  • Handling decisions that need to be made with information that is incomplete and/or uncertain.

Our agents are based on the BDI1 framework implemented using JACK2. and Java Server Pages. We envisage that our intelligent software agents inhabit a market space where they work for the benefit of businesses engaged in customer-to-business and business-to-business electronic commerce. The key contribution and focus of this paper is the development of an agent framework that ensures successful customer relationship management.

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Author information

Authors and Affiliations

  1. Centre of Electronic Commerce for Global Business, University of Newcastle, 2308, NSW

    Sukunesan Sinnappan, Mary-Anne Williams & Siva Muthaly

Authors
  1. Sukunesan Sinnappan
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  2. Mary-Anne Williams
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  3. Siva Muthaly
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Editor information

Editors and Affiliations

  1. CSIRO Mathematical and Information Sciences, 723 Swanston Street, Carlton, VIC 3053, Australia

    Ryszard Kowalczyk

  2. School of Computer Science and Information Technology, RMIT University, GPO Box 2476V, Melbourne, VIC 3001, Australia

    Seng Wai Loke

  3. Department of Computer and Information Science, Linköping University, 581 83, Linköping, Sweden

    Nancy E. Reed

  4. CSIRO Mathematical and Information Sciences, GPO Box 664, Canberra, ACT 2601, Australia

    Graham J. Williams

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© 2001 Springer-Verlag Berlin Heidelberg

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Sinnappan, S., Williams, MA., Muthaly, S. (2001). Agent Based Architecture for Internet Marketing. In: Kowalczyk, R., Loke, S.W., Reed, N.E., Williams, G.J. (eds) Advances in Artificial Intelligence. PRICAI 2000 Workshop Reader. PRICAI 2000. Lecture Notes in Computer Science(), vol 2112. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45408-X_17

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  • DOI: https://doi.org/10.1007/3-540-45408-X_17

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42597-7

  • Online ISBN: 978-3-540-45408-3

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