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Emergence of Personal Knowledge Management Processes within Multi-agent Roles

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Knowledge Management and Acquisition for Intelligent Systems (PKAW 2012)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7457))

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Abstract

In conceptualising a multi-agent reputation point system, we discovered that software agents’ roles were similar to human’s common processes of personal knowledge management (PKM), namely get/retrieve knowledge, understand/analyse knowledge, share knowledge and connect to other knowledge (GUSC). The proposed reputation point system entails that the ‘connect’ process is mediated, but the other three were found to be within and related to that process. This paper discusses the emergence of personal intelligence within the roles assigned to software agents in mediating the PKM of their human counterparts. Recommendation of future work includes an agent simulation to prove this emergence within the assigned roles.

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Author information

Authors and Affiliations

  1. Malaysian Institute of Information Technology, Universiti Kuala Lumpur, Malaysia

    Shahrinaz Ismail

  2. College of Graduate Studies, Universiti Tenaga Nasional, Malaysia

    Mohd Sharifuddin Ahmad

Authors
  1. Shahrinaz Ismail
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  2. Mohd Sharifuddin Ahmad
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Editor information

Editors and Affiliations

  1. Department of Computing, Macquarie University, 2109, North Ryde, NSW, Australia

    Deborah Richards

  2. School of Computing and Information Systems, University of Tasmania, 7000, Hobart, Tasmania, Australia

    Byeong Ho Kang

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© 2012 Springer-Verlag Berlin Heidelberg

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Ismail, S., Ahmad, M.S. (2012). Emergence of Personal Knowledge Management Processes within Multi-agent Roles. In: Richards, D., Kang, B.H. (eds) Knowledge Management and Acquisition for Intelligent Systems. PKAW 2012. Lecture Notes in Computer Science(), vol 7457. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32541-0_19

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  • DOI: https://doi.org/10.1007/978-3-642-32541-0_19

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-32540-3

  • Online ISBN: 978-3-642-32541-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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