Last edited by AAAI Press
09.08.2021 | History

2 edition of Agent-Based Technologies for B2B Electronic Commerce found in the catalog.

Agent-Based Technologies for B2B Electronic Commerce

Papers from the AAAI Workshop

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      • nodata

        StatementAAAI Press
        PublishersAAAI Press
        Classifications
        LC Classifications2002
        The Physical Object
        Paginationxvi, 116 p. :
        Number of Pages94
        ID Numbers
        ISBN 10nodata
        Series
        1nodata
        2
        3

        nodata File Size: 5MB.


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Agent-Based Technologies for B2B Electronic Commerce by AAAI Press Download PDF EPUB FB2


Agent

The Journal aims to offer an integrated view of the field by presenting approaches of multiple disciplines. RAMASD reduces the complexity of designing agent-based B2B e-commerce systems by enabling designers to work at a high level of abstraction and by automatically allocating roles to agents according to applicable role models and design constraints. Her research interests focus on the use of artificial intelligence to create autonomous entities, such as robots and intelligent software agents.

Szirbik, and Gerd Wagner present the use of agent-oriented techniques to support the modeling of virtual enterprises and their information systems. A case study concerning a B2B electronic market for the automotive industry demonstrates the applicability of RAMASD.

Brian Blake and Maria Gini, Guest Editors International Journal of Electronic Commerce, Volume 7, Number 1, Fall 2002, pp.

CiteSeerX — Agent

Agent-based systems are increasingly used to support business-to-business B2B electronic commerce and other Internet-based transactions. Currently, agent researchers are beginning to explore how the autonomy and intelligence of software agents can be used to alleviate the complexity in this B2B electronic commerce space. 0 magazine as the best, most essential academic journal in e-business. Scott Cost, Peyman Faratin, Shawndra Hill, Sylvain Giroux, Zakaria Maamar, Marcus Maloof, Mark Matthews, Bruce McLaren, Laskri Tayeb, and Amund Tveit.