Autonomic system architecture: An automated planning perspective

Falilat Jimoh, Lukáš Chrpa, Mauro Vallati

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Citations (Scopus)


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.

Original languageEnglish
Title of host publicationArtificial Intelligence Applications and Innovations - 9th IFIPWG 12.5 International Conference, AIAI 2013, Proceedings
Number of pages10
Publication statusPublished - 2013
Event9th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations - Paphos, Cyprus
Duration: 30 Sep 20132 Oct 2013
Conference number: 9

Publication series

NameIFIP Advances in Information and Communication Technology
ISSN (Print)18684238


Conference9th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations
Abbreviated titleAIAI 2013


Dive into the research topics of 'Autonomic system architecture: An automated planning perspective'. Together they form a unique fingerprint.

Cite this