Forthcoming and Online First Articles

International Journal of Agent-Oriented Software Engineering

International Journal of Agent-Oriented Software Engineering (IJAOSE)

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International Journal of Agent-Oriented Software Engineering (4 papers in press)

Regular Issues

  • The ASEME Methodology   Order a copy of this article
    by Nikolaos Spanoudakis, Pavlos Moraitis 
    Abstract: In this paper, we present a complete view of an agent-oriented software engineering methodology called ASEME (for Agent Systems Engineering MEthodology). Several parts of the methodology concerning different aspects of the whole development process have been already published in the past in several papers. However, our goal in this paper is to provide a global view on the methodology by providing information about the agent (and multi-agent systems) development process along with recent works concerning the tools that we have developed in order to facilitate the use of ASEME by agent systems developers. We also provide some information on the different practical applications that we have developed using ASEME and which prove that ASEME is very well suited for an easy development of real world applications.
    Keywords: Software engineering; Agent Oriented Software Engineering; Intelligent agents; Multi-Agent Systems; Methodologies; Software process; Engineering Multi Agent Systems.

  • Quantifying the Progress of Goals in Intelligent Agents   Order a copy of this article
    by James Harland, John Thangarajah, Neil Yorke-Smith 
    Abstract: Deliberation over goals is a fundamental feature of intelligent agent systems. In this article we provide pragmatic but principled mechanisms for quantifying the level of completeness of goals in a Belief-Desire-Intention (BDI) agent. Our approach leverages previous work on resource and effects summarization which we extend by accommodating both dynamic resource summaries and goal effects, while also allowing a non-binary quantification of goal completeness. We treat both goals of accomplishment (achievement goals) and goals of monitoring (maintenance goals). We reconcile such practical computation of progress estimates of goals of both types with an earlier theoretical perspective on rnBDI goal completeness, and thus extend the theoretical framework to include maintenance goals. Our computational mechanisms have been implemented in the abstract agent language CAN. We also provide a case study in an autonomous rover domain.
    Keywords: goal reasoning; agent-based systems; maintenance goals; Belief-Desire-Intention.

  • DIVAs: A Multi-Agent Simulation Framework   Order a copy of this article
    by Mohammad Al-Zinati, Rym Zalila-Wenkstern 
    Abstract: DIVAs is a generic Multi-Agent based simulation framework (MABS)for the development of simulation systems. In DIVAs, agents are situated in an open environment that is partially perceived, and the environment is totally decoupled from agents. DIVAs provides a set of reusable architectures, abstract and concrete classes, software components, and tools for the definition of agents and open environments, a microkernel for the management of the simulation workflow, domain-specific libraries for the rapid development of simulations, and reusable and extendable components for the control and visualization of simulations. Also, DIVAs offers the means to dynamically access and modify agent and environment properties at run-time. This paper discusses the DIVAsreference architecture and outlines its major design decisions.
    Keywords: Agent-Based Simulation Framework; Software Engineering.

  • Empirical Software Engineering for Evaluating Adaptive Task-Oriented Personal Assistants: A Case Study in Human/Machine Event Extraction and Coding   Order a copy of this article
    by Wayne Wobcke, Alfred Krzywicki 
    Abstract: This paper concerns methodology for evaluating task-oriented personal assistants, where users perform a complex task that has objective success criteria, independent of personal preferences, and the agent provides suggestions to help users repeatedly perform the task consistently and accurately. We develop a systematic approach to evaluating task-oriented personal assistants in normal contexts of use through extending the methodology of empirical software engineering to evaluate effectiveness, efficiency and satisfaction. The approach allows evaluation of both the human-agent system and of the personal assistant using data obtained by observations of user and system behaviour. A key element of our approach is to define empirically observable conditions that separate the learning period, when users and the agent are learning to perform the task, from the evaluation period, when performance benefits are measured. The methodology is illustrated using the example of a system for users to extract, annotate and code events from news articles.
    Keywords: Personal Agent; Empirical Software Engineering; Event Extraction.