International Journal of Agent-Oriented Software Engineering
Forthcoming articles have been peer-reviewed and accepted for publication 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 Articles will not be published until the final proofs are validated by their authors.
Forthcoming articles must be purchased for the purposes of research, teaching and private study only. These articles can be cited using the expression "in press". For example: Smith, J. (in press). Article Title. Journal Title.
Articles marked with this shopping trolley icon are available for purchase - click on the icon to send an email request to purchase.
Online First articles are published online here, before they appear in a journal issue. Online First articles are fully citeable, complete with a DOI. They can be cited, read, and downloaded. Online First articles are published as Open Access (OA) articles to make the latest research available as early as possible.
Articles marked with this Open Access icon are Online First articles. They are freely available and openly accessible to all without any restriction except the ones stated in their respective CC licenses.
International Journal of Agent-Oriented Software Engineering (4 papers in press)
The ASEME Methodology 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 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 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 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.