Agent-oriented model-driven development for JADE with the JADEL programming language

Bergenti, Federico; Iotti, Eleonora; Monica, Stefania; Poggi, Agostino

doi:10.1016/j.cl.2017.06.001

Cited by 22 publications

(20 citation statements)

References 30 publications

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“…e agent-oriented programming abstraction in agent-oriented programming languages introduces individual thinking attributes (belief, desire, and intention) and social attributes (organization, role, etc.) and becomes an autonomous, resident, social, and reactive highdimensional unity with a higher level of abstraction and more complex programming mechanisms [27,28].…”

Section: Definition 1 Programming Modelmentioning

confidence: 99%

INR: A Programming Model for Developing APPs of Insect Intelligent Building

Zhao

Yang

Xing

et al. 2020

Scientific Programming

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Insect Intelligent Building (I2B) is a novel platform of intelligent buildings. The outstanding feature of I2B is the decentralized network structure connected by smart nodes. I2B can employ APPs (applications) developed by various practitioners or programming fans to manage and control buildings. However, due to the unique parallel operation of I2B platform and the popularization of APP developers, there still exists no effective approach to supporting I2B APP development. To deal with the challenges and provide meaningful guidance for describing and developing I2B APP and motivating the prospective programming language design, we propose INR, a programming model for I2B APP development. Three submodels in INR, namely, Individual, Neighborhood, and Region, are defined and implemented, respectively, for describing different task requirements. Moreover, new mechanisms of Tag-based programming and Clustering operation are established to support the plug-and-play and parallel abilities of APPs in I2B. Finally, we apply the programming model into an application case to illustrate the developing pattern of the I2B APP and verify the effectiveness of our approach.

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Section: Definition 1 Programming Modelmentioning

confidence: 99%

INR: A Programming Model for Developing APPs of Insect Intelligent Building

Zhao

Yang

Xing

et al. 2020

Scientific Programming

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“…Hence, the requirement analysis was supported with a model-driven approach to determine real-time tasks. Bergenti et al [75] proposed a DSL, called JADEL, for the MDD of agents on JADE platform. Instead of covering all features of JADE, JADEL only provided high-level agent-oriented abstractions, namely agents, behaviours, communication ontologies, and interaction protocols.…”

Section: Related Workmentioning

confidence: 99%

“…JADEL was supported with a compiler which enabled source code generation for implementing agents on JADE platform. However, the related code generation feature of JADEL is not functional enough to fully implement JADE agents as also indicated by the authors in [75].…”

Section: Related Workmentioning

confidence: 99%

Supporting the platform extensibility for the model-driven development of agent systems by the interoperability between domain-specific modeling languages of multi-agent systems

2017

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The conventional approach currently followed in the development of domain-specific modeling languages (DSMLs) for multi-agent systems (MASs) requires the definition and implementation of new model-to-model and model-totext transformations from scratch in order to make the DSMLs functional for each different agent execution platforms. In this paper, we present an alternative approach which considers the construction of the interoperability between MAS DSMLs for a more efficient way of platform support extension. The feasibility of using this new interoperability approach instead of the conventional approach is exhibited by discussing and evaluating the model-driven engineering required for the application of both approaches. Use of the approaches is also exemplified with a case study which covers the model-driven development of an agent-based stock exchange system. In comparison to the conventional approach, evaluation results show that the interoperability approach requires both less development time and effort considering design and implementation of all required transformations.

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“…The same localization algorithm can be applied also to the averaged range estimatesr K i,j defined in (11). In this case, the initial system of equations can be obtained from (13) by substituting range estimatesr i,j with the averaged range estimatesr…”

Section: A Two-stage Maximum-likelihood Algorithmmentioning

confidence: 99%

“…The results of such an initiative eventually became the base of JADE for Android [8]. Since then, nomadic agents have been considered one of the most promising applications of agent technology and JADE, together with its companion language JADEL [9]- [11], is a consolidated tool in this field which has been used for many applications (e.g., [12]- [14]). The significant opportunities that the synergic combination of agents and smart appliances offer have already been investigated, e.g., in the scope of the Agent-based MultiUser Social Environment (AMUSE) project [15].…”

Section: Introductionmentioning

confidence: 99%

Experimental Results on Agent-Based Indoor Localization using WiFi Signaling

Monica¹,

Bergenti²

2018

ijacsa

Self Cite

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Abstract-This paper discusses experimental results on the possibility of accurately estimating the position of smart devices in known indoor environments using agent technology. Discussed localization approaches are based on WiFi signaling, which can be considered as an ubiquitous technology in the large majority of indoor environments. The use of WiFi signaling ensures that no specific infrastructures nor special on-board sensors are required to support localization. Localization is performed using range estimates from the fixed access points of the WiFi network, which are assumed to have known positions. The performance of two range-based localization algorithms are discussed. The first, called Two-Stage Maximum-Likelihood algorithm, is well-known in the literature, while the second is a recent optimization-based algorithm that uses particle swarm techniques. Results discussed in the last part of the paper show that a proper processing of WiFi-based range estimates allows obtaining accurate position estimates, especially if the optimization-based algorithm is used.

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Agent-oriented model-driven development for JADE with the JADEL programming language

Cited by 22 publications

References 30 publications

INR: A Programming Model for Developing APPs of Insect Intelligent Building

INR: A Programming Model for Developing APPs of Insect Intelligent Building

Supporting the platform extensibility for the model-driven development of agent systems by the interoperability between domain-specific modeling languages of multi-agent systems

Experimental Results on Agent-Based Indoor Localization using WiFi Signaling

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