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An Agent-Oriented Approach to Service Analysis and Design

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Principles and Practice of Multi-Agent Systems (PRIMA 2010)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7057))

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Abstract

The agent paradigm, with its new way of thinking about software systems as a collection of autonomous, flexible and robust agents, offers a promising solution for modelling and implementing distributed complex systems. Intelligent agents and services share a substantial number of key concepts such as autonomy, reactivity, loose coupling and strong encapsulation. There has been, however, little work on leveraging such a deep connection between agents and services. In this paper, we argue that agent-oriented software engineering (AOSE) provides an important basis for service analysis and design at the business service level. In particular, we show how concepts and techniques in AOSE can be used to analyse and model business services in the context of service ecosystems.

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Author information

Authors and Affiliations

  1. School of Computer Science and Software Engineering, University of Wollongong, Northfields Av, Wollongong, NSW, 2522, Australia

    Hoa Khanh Dam & Aditya Ghose

Authors
  1. Hoa Khanh Dam
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  2. Aditya Ghose
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Editor information

Editors and Affiliations

  1. IBM Research, Bangalore, India

    Nirmit Desai

  2. Department of Electrical Engineering, National Chung Cheng University, 168 University Road, 621, Min-Hsiung, Chia-Yi, Taiwan

    Alan Liu

  3. Department of Information Science, University of Otago, 60 Clyde Street, Dunedin, New Zealand

    Michael Winikoff

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Dam, H.K., Ghose, A. (2012). An Agent-Oriented Approach to Service Analysis and Design. In: Desai, N., Liu, A., Winikoff, M. (eds) Principles and Practice of Multi-Agent Systems. PRIMA 2010. Lecture Notes in Computer Science(), vol 7057. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25920-3_36

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  • DOI: https://doi.org/10.1007/978-3-642-25920-3_36

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-25919-7

  • Online ISBN: 978-3-642-25920-3

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