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Information Journal Paper

Title

LEARNING STABLE ANALYSIS PATTERNS FOR INTELLIGENT SOFTWARE AGENTS

Pages

  119-132

Abstract

 Artificial Intelligence (AI) Techniques (such as LEARNING) are used widely in agent-based systems. However, current research does not address a software engineering view on these techniques that support all the software development process. In this paper, we focus on requirement analysis -as the first step of the software development process and present techniques and tools to cover this shortage. In this regard, we provide a set of stable ANALYSIS PATTERNs for LEARNING capability of the agents. Stable ANALYSIS PATTERNs are a set of meta-classes and their relations to analyze a specific issue in a domain-independent manner. Using stable analysis concepts, namely Enduring Business Themes (EBT), Business Objects (BO) and Industrial Objects (IO), these patterns represent the conceptual model of the LEARNING. In this paper, we also apply these patterns on two case studies to investigate their applicability. These patterns are used as guidelines during analysis of LEARNING. The main advantage of applying the stable ANALYSIS PATTERNs in comparison with conventional analysis methods is modeling the knowledge of the LEARNING analysis in addition to the ordinary classes of the domain. In addition, they generate more stable models via considering different levels of abstraction in the analysis.

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  • Cite

    APA: Copy

    VAFADAR, S., & ABD ELAHZADEH BARFOROUSH, A.. (2011). LEARNING STABLE ANALYSIS PATTERNS FOR INTELLIGENT SOFTWARE AGENTS. NASHRIYYAH-I MUHANDESI-I BARQ VA MUHANDESI-I KAMPYUTAR-I IRAN (PERSIAN), 9(3), 119-132. SID. https://sid.ir/paper/53803/en

    Vancouver: Copy

    VAFADAR S., ABD ELAHZADEH BARFOROUSH A.. LEARNING STABLE ANALYSIS PATTERNS FOR INTELLIGENT SOFTWARE AGENTS. NASHRIYYAH-I MUHANDESI-I BARQ VA MUHANDESI-I KAMPYUTAR-I IRAN (PERSIAN)[Internet]. 2011;9(3):119-132. Available from: https://sid.ir/paper/53803/en

    IEEE: Copy

    S. VAFADAR, and A. ABD ELAHZADEH BARFOROUSH, “LEARNING STABLE ANALYSIS PATTERNS FOR INTELLIGENT SOFTWARE AGENTS,” NASHRIYYAH-I MUHANDESI-I BARQ VA MUHANDESI-I KAMPYUTAR-I IRAN (PERSIAN), vol. 9, no. 3, pp. 119–132, 2011, [Online]. Available: https://sid.ir/paper/53803/en

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