Search:
Computing and Library Services - delivering an inspiring information environment

Using automated planning to enable autonomic properties in computer systems

Jimoh, F. and McCluskey, T.L. (2012) Using automated planning to enable autonomic properties in computer systems. In: Proceedings of The Queen’s Diamond Jubilee Computing and Engineering Annual Researchers’ Conference 2012: CEARC’12. University of Huddersfield, Huddersfield, p. 150. ISBN 978-1-86218-106-9

[img]
Preview
PDF (Cover page)
Cover_pages.pdf - Published Version

Download (1MB) | Preview
[img]
Preview
PDF (Abstract)
F_Jimoh_Abstract.pdf - Published Version

Download (59kB) | Preview
[img]
Preview
PDF (Poster)
F_Jimoh_poster.pdf - Published Version

Download (197kB) | Preview

Abstract

Most control systems embodying artificial intelligence (AI) techniques tend to be “reactive” rather than “deliberative” in many application areas. However, there arises the need for systems that can sense, interpret and deliberate with their actions and goals to be achieved, taking into consideration continuous changes in state, required service level and environmental constraints. The requirement of
such systems is that they can plan and act effectively after such deliberation, so that behaviourally they appear self-aware.
Autonomic control systems are an important class of such control systems, because of the desirable
properties that they offer: the ability to self-manage, self-configure, self-protect and self-optimise. Creating generic technology that enables control systems to automatically reason with knowledge of their controls, in order to generate plans and schedules to manage themselves, would be a major breakthrough in the realisation of autonomic properties in such systems. In this project we explore the use and potential exploitation of deliberative AI techniques, in particular recent advances in Automated Planning.
This project aims to perform ground-breaking research in order to show the potential of Automated Planning technology in embodying systems with self-management. We aim to take traditional control system architecture, situated in the area of traffic control, and embed it with deliberative planning components. We will evaluate it by comparing its behaviour to a traditional control system, and assessing the effort and challenges required to embody such symbolic reasoning within a real time
environment.

Item Type: Book Chapter
Uncontrolled Keywords: autonomic systems automated planning and scheduling control systems
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
Schools: School of Computing and Engineering
School of Computing and Engineering > Computing and Engineering Annual Researchers' Conference (CEARC)
School of Computing and Engineering > High-Performance Intelligent Computing
School of Computing and Engineering > High-Performance Intelligent Computing > Planning, Autonomy and Representation of Knowledge
School of Computing and Engineering > High-Performance Intelligent Computing > Planning, Autonomy and Representation of Knowledge

School of Computing and Engineering > Pedagogical Research Group
Related URLs:
Depositing User: Sharon Beastall
Date Deposited: 03 May 2012 10:58
Last Modified: 03 May 2012 10:58
URI: http://eprints.hud.ac.uk/id/eprint/13486

Downloads

Downloads per month over past year

Repository Staff Only: item control page

View Item View Item

University of Huddersfield, Queensgate, Huddersfield, HD1 3DH Copyright and Disclaimer All rights reserved ©