Forthcoming articles


International Journal of Agent-Oriented Software Engineering


These articles have been peer-reviewed and accepted for publication in IJAOSE, but are pending final changes, are not yet published and may not appear here in their final order of publication until they are assigned to issues. Therefore, the content conforms to our standards but the presentation (e.g. typesetting and proof-reading) is not necessarily up to the Inderscience standard. Additionally, titles, authors, abstracts and keywords may change before publication. Articles will not be published until the final proofs are validated by their authors.


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International Journal of Agent-Oriented Software Engineering (7 papers in press)


Regular Issues


  • A user-centred social commitment model for location sharing applications in the family life domain   Order a copy of this article
    by Alex Kayal, Willem-Paul Brinkman, Mark Neerincx, M. Birna Van Riemsdijk 
    Abstract: Mobile location-sharing technology is used increasingly by parents to know where their children are. It is our aim to make such technology more flexible in adapting to the particular social context in which it operates. We propose to realize this by allowing users to specify norms that govern the respective social contexts, to which the application should adapt at run-time to provide tailored support. The challenge we address in this paper is the development of a normative model tailored for mobile applications that support location sharing in family life. The novelty of our work lies in the fact that we employ empirical user-centered design methods and techniques for developing the model in an iterative and "bottom-up" way. This results in two main contributions: 1) a normative model, specifically a social commitment model, for family life location sharing applications shown to be useful and usable, and 2) a demonstration of how user-centered design can be employed to develop a normative model for social applications.
    Keywords: Social media; location sharing; social commitments; normative frameworks; user values.

Special Issue on: EMAS 2016 Multiagent Systems Engineering and Applications

  • Improving Flexibility and Dependability of Remote Patient Monitoring with Agent-Oriented Approaches   Order a copy of this article
    by Davide Ancona, Angelo Ferrando, Viviana Mascardi 
    Abstract: Context: Remote Patient Monitoring (RPM) enables physicians to perform diagnosis and/or treatment remotely through sensors connected via a communication network. Dependability and flexibility are recognized as two key technological requirements for RPM take off. Research question: We address the questions of how RPM systems designed and implemented as multiagent systems (MASs) can ensure flexibility and dependability, and which agent-oriented approach if any is more suitable to achieve this goal. Method: We analyzed five state-of-the-art agent-oriented approaches suitable to engineer dependable and/or flexible systems. We planned to adopt the winner approach to realize a working prototype able to show the potential of an agent- oriented approach to RPM. Results: No approach among the five dominates the others w.r.t. all the ten features that drove our analysis. In absence of a winner, we selected the approach we are more familiar with, namely parametric trace expressions. We used them to verify properties modeling existing medical guidelines and to developed a prototype where newborns suffering from hypoglycemia must be continuously monitored at home. Conclusions: Parametric trace expressions proved to be suitable for engineering flexible and dependable RPM systems. This finding can be generalized: agent- oriented approaches showing features similar to those of parametric trace expressions can serve to achieve the same goal.
    Keywords: Flexibility; Dependability; Remote Patient Monitoring; Protocol-Driven Agents; Self-adaptive Agents; Parametric Trace Expressions.

  • Augmenting Agent Computational Environments with Quantitative Reasoning Modules and Customizable Bridge Rules   Order a copy of this article
    by Stefania Costantini, Andrea Formisano 
    Abstract: There are many examples where large amounts of data might be potentially accessible to an agent, but the agent is constrained by the available budget since access to knowledge bases is subject to fees. Also, there are several activities that an agent might plan and perform on the web where one or more stages imply the payment of fees. For instance, consider the issue of buying resources in a cloud computing context where the objective of the agent is to obtain the best possible configuration of a certain application within given budget constraints. In this paper we consider the software-engineering problem of how to practically empower agents with the capability to perform budget-constrained reasoning in a uniform and principled way. To this aim, we enhance the ACE component-based agent architecture by means of a device for practical and computationally affordable quantitative reasoning, whose results actually determine one or more courses of agent's actions, also according to policies/preferences. We further enhance the ACE framework by making the agent-components interaction mechanism parametric with respect to the actual modules that an agent may dynamically decide to exploit. We discuss the proposed extensions on a realistic case-study.
    Keywords: Processes and methodologies for MAS development; Software architectures and design patterns for MAS; Declarative approaches to engineering agents systems.

Special Issue on: EMAS 2015 Agent-based System Engineering

  • Modeling Agent Oriented Solutions for the SmartGrid   Order a copy of this article
    by Jorge J. Gomez-Sanz, Sandra Garcia-Rodriguez, Nuria Cuartero-Soler 
    Abstract: This paper contributes with an decentralised agent design for a Microgrid that uses agent technology for avoiding dumping the excess of energy to a main powerline. The agent design is made with INGENIAS. The agents connect with a Microgrid simulator, the SGSimulator, and issue commands to control different distributed renewable energy sources. The paper illustrates the benefits of coordination of agents in such scenario through a simple token based protocol.
    Keywords: AOSE; SmartGrid; Design; Microgrid; Coordination.

  • Quantitative analysis of multi-agent systems through statistical verification of simulation traces   Order a copy of this article
    by Benjamin Herd, Simon Miles, Peter McBurney, Michael Luck 
    Abstract: Due to their immense complexity, large-scale multiagent systems are often not amenable to exhaustive formal verification. Statistical approaches that focus on the verification of individual traces can provide an interesting alternative. However, due to its focus on finite execution paths, trace-based verification is inherently limited to certain types of correctness properties. We show how, by combining sampling with the idea of trace fragmentation, statistical verification can be used to answer interesting quantitative correctness questions about multiagent systems at different observational levels. The usefulness of the verification approach is illustrated with a simple case study from the area of swarm robotics.
    Keywords: Multiagent systems; Agent-based simulation; Verification; Statistical model checking; Quantitative analysis.

  • An Agent Programming Manifesto   Order a copy of this article
    by Brian Logan 
    Abstract: There has been considerable progress in both the theory and practice of agent programming since Georgeff & Rao's seminal work on the Belief-Desire-Intention paradigm. However, despite increasing interest in the development of autonomous systems, applications of agent programming are confined to a small number of niche areas, and adoption of agent programming languages in mainstream software development remains limited. This state of affairs is widely acknowledged within the community, and a number of reasons and remedies have been proposed. In this paper, I present an analysis of why agent programming has failed to make an impact that is rooted in the class of programming problems agent programming sets out to solve, namely the realisation of flexible intelligent behaviour in dynamic and unpredictable environments. Based on this analysis, I outline some suggestions for the future direction of agent programming, and some principles that I believe any successful future direction must follow. rn
    Keywords: intelligent agents; belief-desire-intention; BDI; agent programming.

  • Validating MAS Analysis Models with the ASEME Methodology   Order a copy of this article
    by Nikolaos Spanoudakis, Efthymios Floros, Nektarios Mitakidis, Pavlos Delias 
    Abstract: When designing agent-oriented software, engineers consider performance-related non-functional requirements. To this end, performance engineering practices provide a useful toolbox. In particular, simulation of the system's processes appears eminently suitable. However, agent-oriented software engineering methodologies are not directly linked to process simulation features. This paper extends an AOSE methodology for transforming agent roles models to process models, and for streamlining the transformation process towards simulation. Our method allows diverse process model generation, aiming to support the process simulation, and was integrated into a model-driven engineering methodology. We used an established process modelling notation (BPMN) as the target language for the process model, and we are able to deliver a ready-to-simulate model. Through simulation, an analyst can validate specific system requirements and test scenarios of how the system scales beyond the current requirements. Furthermore, because of process models familiarity within the business domain, engineers, managers and stakeholders can seamlessly communicate system designs.
    Keywords: Agent-oriented software engineering; AOSE methodology; process models; BPMN; business process modeling notation; simulation; system validation; scaling; model-driven engineering;.