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Author Juneidi, Salaheddin J. ♦ Vouros, George A.
Source CiteSeerX
Content type Text
Publisher MIT press
File Format PDF
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Software Engineering Development ♦ System Inherent Complexity ♦ Complex System ♦ Agent Interaction Protocol ♦ Dynamic Structure ♦ Interactive Environment ♦ Commercial Application ♦ Role Class ♦ Arl Theory ♦ Arl Concept ♦ Multi Agent System ♦ Agent Oriented ♦ New Conceptualization ♦ Autonomous Entity ♦ Agent Role Locking ♦ E-learning Application ♦ Agent Class Diagram ♦ E-learning System Case Study
Description Software engineering development is crucial for industrial and commercial applications as systems are required to operate in increasingly complex, distributed, open, dynamic, unpredictable, and inherently highly interactive environments. This work is being motivated by the need to engineer complex systems with autonomous entities, to manage systems ’ inherent complexity during analysis, design and implementation. This article presents the Agent Role Locking (ARL) theory that provides a new conceptualization of the relation between agents and roles in Multi Agent Systems. ARL concepts are being explained and illustrated using an e-learning system case study. ARL extends UML with both static and dynamic structures by means of role class, agent class diagrams and Agent Interaction Protocol
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research
Education Level UG and PG ♦ Career/Technical Study
Learning Resource Type Article
Publisher Date 2005-01-01
Publisher Institution Software Engineering, 2005 AAAI Fall Symposium