scholarly journals Towards the Consolidation of a Diagramming Suite for Agent-Oriented Modelling Languages

2013 ◽  
Vol 2013 ◽  
pp. 1-53 ◽  
Author(s):  
Brian Henderson-Sellers

Whilst several agent-oriented modelling languages have been developed by independent research groups, it is now appropriate to consider a consolidation of these various approaches. There are arguably three things that need consolidation and future standardization: individual symbols, the underpinning metamodel, and the diagram types. Here we address only the third issue by extending an earlier analysis that resulted in recommendations for various diagram types for the modelling of a multiagent system (MAS). Here, we take each of these previously recommended diagram types and see how each is realized in a wide variety (over 20) of current agent-oriented software engineering (AOSE) methodologies. We also take the opportunity to express, as exemplars, some of these diagram types using the recently published FAML notation.

1999 ◽  
Vol 15 (3) ◽  
pp. 196-205 ◽  
Author(s):  
Rosario Martínez-Arias ◽  
Fernando Silva ◽  
Ma Teresa Díaz-Hidalgo ◽  
Generós Ortet ◽  
Micaela Moro

Summary: This paper presents the results obtained in Spain with The Interpersonal Adjective Scales of J.S. Wiggins (1995) concerning the variables' structure. There are two Spanish versions of IAS, developed by two independent research groups who were not aware of each other's work. One of these versions was published as an assessment test in 1996. Results from the other group have remained unpublished to date. The set of results presented here compares three sources of data: the original American manual (from Wiggins and collaborators), the Spanish manual (already published), and the new IAS (our own research). Results can be considered satisfactory since, broadly speaking, the inner structure of the original instrument is well replicated in the Spanish version.


Author(s):  
Juan de Lara ◽  
Esther Guerra

AbstractModelling is an essential activity in software engineering. It typically involves two meta-levels: one includes meta-models that describe modelling languages, and the other contains models built by instantiating those meta-models. Multi-level modelling generalizes this approach by allowing models to span an arbitrary number of meta-levels. A scenario that profits from multi-level modelling is the definition of language families that can be specialized (e.g., for different domains) by successive refinements at subsequent meta-levels, hence promoting language reuse. This enables an open set of variability options given by all possible specializations of the language family. However, multi-level modelling lacks the ability to express closed variability regarding the availability of language primitives or the possibility to opt between alternative primitive realizations. This limits the reuse opportunities of a language family. To improve this situation, we propose a novel combination of product lines with multi-level modelling to cover both open and closed variability. Our proposal is backed by a formal theory that guarantees correctness, enables top-down and bottom-up language variability design, and is implemented atop the MetaDepth multi-level modelling tool.


Author(s):  
Lavindra de Silva ◽  
Felipe Meneguzzi ◽  
Brian Logan

The BDI model forms the basis of much of the research on symbolic models of agency and agent-oriented software engineering. While many variants of the basic BDI model have been proposed in the literature, there has been no systematic review of research on BDI agent architectures in over 10 years. In this paper, we survey the main approaches to each component of the BDI architecture, how these have been realised in agent programming languages, and discuss the trade-offs inherent in each approach.


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