A Design Complexity Evaluation Framework for Agent-Based System Engineering Methodologies

Karageorgos, Anthony; Mehandjiev, Nikolay

doi:10.1007/978-3-540-25946-6_17

Cited by 6 publications

(13 citation statements)

References 26 publications

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“…Diverse approaches from different disciplines exist for evaluating frameworks of software engineering methodologies. Together with the evaluation of general aspects, the Karageorgos and Mehandjiev (2004) approach was employed, inducing a descriptive evaluation method for the specific aspects of agent-based methodologies. This method includes arguing for or against certain characteristics of the evaluated framework without actually applying it, which is useful for discovering some weaknesses in the method, e.g.…”

Section: Methodsmentioning

confidence: 99%

“…A set of Manufacturing-oriented approaches also exists, with modelling frameworks that vary from modelling formalisms (e.g. SADT/IDEF -Structured Analysis and Design Technique/Integrated Computer Aided Manufacturing Definition -or Petri-Nets approaches) to complete modelling architectures (Vernadat, 1996) (Karageorgos & Mehandjiev, 2004;Monostori, Vancza & Kumara, 2006). In this sense, Agent-oriented Approaches (Brugali & Sycara, 2000) explicitly take into consideration the notion of agent.…”

Section: Planningmentioning

confidence: 99%

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Integrated methodological frameworks for modelling agent-based advanced supply chain planning systems: A systematic literature review

Santa-Eulalia

Halladjian

D’Amours

et al. 2011

JIEM

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Purpose: The objective of this paper is to provide a systematic literature review of recent developments in methodological frameworks for the modelling and simulation of agent-based advanced supply chain planning systems.

Design/methodology/approach: A systematic literature review is provided to identify, select and make an analysis and a critical summary of all suitable studies in the area. It is organized into two blocks: the first one covers agent-based supply chain planning systems in general terms, while the second one specializes the previous search to identify those works explicitly containing methodological aspects.

Findings: Among sixty suitable manuscripts identified in the primary literature search, only seven explicitly considered the methodological aspects. In addition, we noted that, in general, the notion of advanced supply chain planning is not considered unambiguously, that the social and individual aspects of the agent society are not taken into account in a clear manner in several studies and that a significant part of the works are of a theoretical nature, with few real-scale industrial applications. An integrated framework covering all phases of the modelling and simulation process is still lacking in the literature visited.

Research limitations/implications: The main research limitations are related to the period covered (last four years), the selected scientific databases, the selected language (i.e. English) and the use of only one assessment framework for the descriptive evaluation part.

Practical implications: The identification of recent works in the domain and discussion concerning their limitations can help pave the way for new and innovative researches towards a complete methodological framework for agent-based advanced supply chain planning systems.

Originality/value: As there are no recent state-of-the-art reviews in the domain of methodological frameworks for agent-based supply chain planning, this paper contributes to systematizing and consolidating what has been done in recent years and uncovers interesting research gaps for future studies in this emerging field.

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Section: Methodsmentioning

confidence: 99%

Section: Planningmentioning

confidence: 99%

Integrated methodological frameworks for modelling agent-based advanced supply chain planning systems: A systematic literature review

Santa-Eulalia

Halladjian

D’Amours

et al. 2011

JIEM

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show abstract

“…In addition, automation and reuse have been presented as two important principles to overcome complexity [18,33]:…”

Section: Problems Of Modeling Swarm-based Systemsmentioning

confidence: 99%

Using Formal Methods and Agent-Oriented Software Engineering for Modeling NASA Swarm-Based Systems

Rouff

Hinchey

Peña

et al. 2007

2007 IEEE Swarm Intelligence Symposium

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NASA is researching advanced technologies for future exploration missions using intelligent swarms of robotic vehicles. One of these missions is the Autonomous Nano Technology Swarm (ANTS) mission that will explore the asteroid belt using 1,000 cooperative autonomous spacecraft.From the engineering point of view, the complexity of this kind of systems is one of the main challenges that has to be overcame, since it makes the behavior of the swarm unpredictable. In NASA, many approaches are being explored towards this goal, mainly, a tailored software engineering approach for this kind of systems, called agent-oriented software engineering, and formal methods. In this paper, we report on the main advances we have done towards modelling, implementing, and testing NASA swarms-based concept missions.

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“…Reuse involves process, modeling artifacts, techniques, guidelines, and models of previous projects [4,10]. For example, complex interactions that require negotiation or self-adaptation algorithms may be directly implemented by reusing these algorithms.…”

Section: Reusementioning

confidence: 99%

Towards clarifying the importance of interactions in Agent-Oriented Software Engineering

Peña¹,

Levy²,

Corchuelo³

2007

Int. Artif.

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Interactions between subparts of a system have been recognized as the source of complexity in many fields ranging from physics, sociology, neurology, to software engineering. Agent-Oriented Software Engineering (AOSE) was born under the promise of conquering complexity and enabling the development of more complex software. However, current AOSE approaches do not provide enough engineering tools to deal with the complexity derived from interactions. More mature fields such as economy or component-based software systems have recognized that interactions present a predominant role in the determination of the desired outcome providing mature background that can be applied to AOSE. AOSE may improve its ability to deal with complex systems by improving the tools applied to manage agent's interactions in the overall design of the system. In this paper, we justify this assessment and propose some principles to improve AOSE methodologies regarding complexity.

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A Design Complexity Evaluation Framework for Agent-Based System Engineering Methodologies

Cited by 6 publications

References 26 publications

Integrated methodological frameworks for modelling agent-based advanced supply chain planning systems: A systematic literature review

Integrated methodological frameworks for modelling agent-based advanced supply chain planning systems: A systematic literature review

Using Formal Methods and Agent-Oriented Software Engineering for Modeling NASA Swarm-Based Systems

Towards clarifying the importance of interactions in Agent-Oriented Software Engineering

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