Methodological aspects in the design of a multi-agent system

2008

Recently, agent systems have proven to be a powerful new approach for designing and developing complex and distributed software systems. The agent area is one of the most dynamic and exciting areas in computer science today, because of the agents ability to impact the lives and work of all of us. Developing multi-agent systems for complex and distributed systems entails a robust methodology to assist developers to develop such systems in appropriate way. In the last ten years, many of agent oriented methodologies have been proposed. Although, these methodologies are based on strong basis they still suffer from a set of shortcomings and they still have the problems of traditional distributed systems as well as the difficulties that arise from flexibility requirements and sophisticated interactions. This thesis proposed a new agent oriented software engineering methodology called: Multi-Agent System Development (MASD) for development of multi-agent systems. The new methodology is provided by a set of guidelines, methods, models, and techniques that facilitate a systematic software development process. The thesis makes the following contributions: The main contribution of this thesis is to build a new methodology for the development of multi-agent systems. It is based upon the previous existing methodologies. It is aimed to develop a complete life-cycle methodology for designing and developing MASs. The new methodology is considered as an attempt to solve some of the problems that existing methodologies suffer from. The new methodology is established based on three fundamental aspects: concepts, models, and process. These three aspects are considered as a foundation for building a solid methodology. The concepts are all the necessary MAS concepts that should be available in order to build the models of the new methodology in a correct manner. The models include modeling techniques, modeling languages, a diagramming notation, and tools that can be used to analysis and design the agent system. The process is a set of steps or phases describe how the new methodology works in detail. The new methodology is built to bridge the gap between design models and existing agent implementation languages. It provides refined design models that can be directly implemented in an available programming language or use a dedicated agent-oriented programming language which provides constructs to implement the high-level design concepts such as Jadex, JADE, JACK, etc. The MASD methodology also uses an important concept called triggers and relies heavily on agent roles. The role concept is considered one of the most important aspects that represent agent behaviour. The trigger concept is also considered as an important aspect that represents agent reactivity. The new methodology captures the social agent aspects by utilizing well-known techniques such as use case maps, which enable developers to identify social aspects from the problem specification. MASD methodology is developed based on the essential software engineering issues such as preciseness, accessibility, expressiveness, domain applicability, modularity, refinement, model derivation, traceability, and clear definitions. The MASD methodology is provided by a plain and understandable development process through the methodology phases. It captures the holistic view of the system components, and commutative aspects, which should be recognized before designing the methodology models. This is achieved by using well-known techniques such as UCMs and UML UCDs. IV The resulting methodology was obtained by performing several steps. First, a review study "literature review" of different agent methodologies is carried out to capture their strengths and weaknesses. This review study started with the conceptual framework for MAS to discuss the common terms and concepts that are used in the thesis. The aim is to establish the characteristics of agent-oriented methodologies, and see how these characteristics are suited to develop multi-agent systems. Secondly, a requirement for a novel methodology is presented. These requirements are discussed in detail based on the three categories: concepts, models, and process. Thirdly, the new mature methodology is developed based on existing methodologies. The MASD methodology is composed of four phases: the system requirement phase, analysis phase, design phase and implementation phase. The new methodology covers the whole life cycle of agent system development, from requirement analysis, architecture design, and detailed design to implementation. Fourthly, the methodology is illustrated by a case study on an agent-based car rental system. Finally, a framework for evaluating agent-oriented methodologies is performed. Four methodologies including MASD are evaluated and compared by performing a feature analysis. This is carried out by evaluating the strengths and weaknesses of each participating methodology using a proposed evaluation framework called the Multi-agent System Analysis and Design Framework (MASADF). The evaluation framework addresses several major aspects of agent-oriented methodologies, such as: concepts, models and process. V ACKNOWLEDGEMENT First and foremost, I wish to express my deepest gratitude to my supervisor Prof. Rainer Unland (University of Duisburg-Essen, Germany) for his valuable advice and guidance of this work. He has helped me in shaping the research from day one, pushed me to get through the inevitable research setbacks, and encouraged me to achieve to the best of my ability. Without his support and encouragement, this dissertation would not have happened. Special thanks and gratitude to Dr Mohammed Elammari (University of Garyounis, Libya) for his genuine support, valuable advice and sincere comments which helped me a lot to finish this study. I also want to express my thanks and gratitude to Prof. Cherif Branki (University of West Scotland, UK) for reviewing the thesis and for his valuable comments and criticism during the preparation of the manuscript as well as for revising the English language of the manuscript. The Institute for Computer Science and Business Information Systems (ICB), at the University of Duisburg-Essen, Essen, provided support, including working equipments and research space. I am very grateful to the authority of the University of Duisburg-Essen. I would like to thank many people for their support, encouragement and guidance during my years as a graduate student at Duisburg-Essen University I also thank other persons such as Dr Faheem Bukhatwa (Griffith College

International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 2017

As recognition of agents' technology registers steady improvement over years, there is an emergent need for practical methods for developing agent applications. Agent-Oriented Software Engineering (AOSE) methodologies were proposed to develop complex distributed system grounded upon the agent paradigm. Initially, the challenge was the lack of mature development methodologies for agent-based systems, efforts in the right direction to address the problem resulted in the proliferation of methodologies, which presents a new challenge that is, practitioners are challenged in that they need to select a methodology from a large number of existing methodologies. The literature in this paper suggests a necessity to the understanding of the classification of AOSE methodologies. We advocate for a view that is in twofold, first, practitioners need to first understand in a wide sense the categories of AOSE methodologies, so as to correctly link it to their intended agent solution, secondly, identify a methodology considering the availability of support features such as maturity, availability of documentation and support tools.

2005

This paper presents 2 software engineering approaches for design of multi-agent systems. The goal of the paper is to evaluate the usefulness of such methodologies regarding agent systems design. For each method, the methodology map is described, together with its most important features. We conclude that software engineering approaches are worth for consideration when moving the agent system into in-house development, as the most used agent development technologies are still object-oriented.

The Knowledge Engineering Review, 2002

Analysis and design of Information Systems (ISs) is the process of eliciting the system's requirements and transforming them into a model that can be used to develop ISs. Analysis and design of Agent-Oriented Information Systems (AOISs) relates to the very same process using the multi-agent paradigm. A comprehensive and rigorous methodology for developing multi-agent systems is lacking (Elammari & Lalonde, 1999; Odell et al., 2000). Most existing multi-agent systems were developed in an ad-hoc manner, and systems developers paid little attention to requirements specification and the analysis process (Treur, 1999a). The paper has two goals: (a) to provide an overview and (b) to discuss challenges and future research of the field. To address the first goal, we review different methodologies that are suitable for analysing and designing AOIS. This is done by examining, for each methodology, its suitability in supporting the early phases of the software engineering process (specifically analysis and design) as well as its capabilities for modelling agent-oriented systems. To address the second goal, we analyse the limitations of existing approaches, identify critical issues and point to what we think are possible future directions.

Enabling Society with Information Technology, 2002

Agent-oriented approach to software engineering (Agent-SE) for multiagent software design is presented. It includes methods to generate organizational information for cooperative and coordinative agents. Agent-SE can be used to design and implement complex, heterogeneous, distributed and networked software systems using dynamic agent coalition structure.