کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
388099 | 660916 | 2010 | 13 صفحه PDF | دانلود رایگان |
In many settings, fully automated reasoning about tasks and resources is crucial. This is particularly important in multi-agent systems where tasks are monitored, managed and performed by intelligent agents. For these agents, it is critical to autonomously reason about the types of resources a task may require. However, determining appropriate resource types requires extensive expertise and domain knowledge. In this paper, we propose a means to automate the selection of resource types that are required to fulfil tasks. Our approach combines ontological reasoning and Logic Programming in a novel way for flexible matchmaking of resources to tasks. Using the proposed approach, intelligent agents can autonomously reason about the resources and tasks in various real-life settings and we demonstrate this here through case-studies. Our evaluation shows that the proposed approach equips intelligent agents with flexible reasoning support for task resourcing.
► Ontological reasoning and Logic Programming are combined for flexible task resourcing.
► The proposed mechanisms enable software agents to autonomously reason about the resources and tasks.
► Through case-studies, usefulness of the approach is demonstrated in various real-life settings.
Journal: Expert Systems with Applications - Volume 39, Issue 2, 1 February 2012, Pages 1998–2010