Autonomic System Architecture: An Automated Planning Perspective

Jimoh, Falilat, Chrpa, Lukáš and Vallati, Mauro (2013) Autonomic System Architecture: An Automated Planning Perspective. In: Artificial Intelligence Applications and Innovations 2013. IFIP Advances in Information and Communication Technology, 412 (121). Springer, Pahpos, Cyprus, pp. 121-130. ISBN 9783642411410

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Abstract

Control systems embodying artificial intelligence (AI) techniques tend to be “reactive” rather than “deliberative” in many application areas. There arises a 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. In this paper, we focus on designing a generic architecture for autonomic systems which is inspired by the Human Autonomic Nervous System.Our architecture consists of four main components which are discussed in the context of the Urban Traffic Control Domain. We also highlight the role of AI planning in enabling self-management property of autonomic systems. We believe that creating a generic architecture that enables control systems to automatically reason with knowledge of their environment and their controls, in order to generate plans and schedules to manage themselves, would be a significant step forward in the field of autonomic systems.

Item Type:	Book Chapter
Uncontrolled Keywords:	automated planning, autonomic systems, autonomic nervous system
Subjects:	H Social Sciences > HE Transportation and Communications Q Science > QA Mathematics > QA75 Electronic computers. Computer science T Technology > T Technology (General) T Technology > TA Engineering (General). Civil engineering (General)
Schools:	School of Computing and Engineering 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
Related URLs:	Author Publisher
Depositing User:	Falilat Jimoh
Date Deposited:	15 Aug 2013 08:07
Last Modified:	30 Mar 2018 10:15
URI:	http://eprints.hud.ac.uk/id/eprint/18141

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