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Although software engineering necessarily encompasses research and application, an individual paper in IJAOSE may address one or both of these aspects. If a proposal is purely theoretical, some application areas need to be indicated although empirical proof will not necessarily be required for publication in the journal.
Special issues may also be commissioned occasionally. Editor in Chief Dr. About this journal Editorial board Submitting articles. Objectives The objectives of IJAOSE are to establish a communication vehicle for researchers and practitioners to promote, publicise and exchange ideas relating to the interface between research and commercial adoption of agent technology within the software development community.
Browse issues Vol. 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. 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. 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.
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