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Agent-Oriented Software Engineering pp 137–154Cite as

The Landscape of Agent-Oriented Methodologies

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Abstract

Agent-based systems have evolved during the last two decades. To support the development of such systems, agent-oriented methodologies have emerged. In general, most of the methodologies have originated from two major research domains, namely software engineering and artificial intelligence, and were adjusted to address the agent abstraction. It seems that many of the methodologies share a common basis, an observation that calls for unification and for standardization. In this chapter, we survey existing agent-oriented methodologies and describe the support for agent-based concepts required in such methodologies. We then analyze the most influential agent-oriented methodologies in light of the required agent-based concepts as well as other criteria. We also examine alternatives such as methodology integration and the support for developing a tailored agent-oriented methodology. The main concern that arises from the survey and the analysis is the lack of evaluation of agent-based methodologies, which may have negatively affected, at least in part, the adoption of these methodologies for developing agent-based systems. We also discuss the need to further extend the methodologies to support the entire lifecycle.

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Authors and Affiliations

  1. Department of Information Systems Engineering, Ben-Gurion University of the Negev, Beer-Sheva, Israel

    Arnon Sturm

  2. IBM – Haifa Research Lab, Haifa, Israel

    Onn Shehory

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  1. Arnon Sturm
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  2. Onn Shehory
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Correspondence to Arnon Sturm .

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Editors and Affiliations

  1. IBM Haifa Research Laboratory, Haifa, Israel

    Onn Shehory

  2. Ben-Gurion University of the Negev, Beer-Sheva, Israel

    Arnon Sturm

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Sturm, A., Shehory, O. (2014). The Landscape of Agent-Oriented Methodologies. In: Shehory, O., Sturm, A. (eds) Agent-Oriented Software Engineering. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-54432-3_7

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  • DOI: https://doi.org/10.1007/978-3-642-54432-3_7

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