Knowledge representation and awareness in autonomic service-component ensembles - State of the art

Emil Vassev, Mike Hinchey

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

Abstract

Knowledge is the source of intelligence and both knowledge representation and knowledge management are crucial for intelligent systems. Well employed knowledge helps such systems become aware of situations, recognize states and eventually respond to changes. This paper presents our vision of knowledge representation and awareness in mobile swarm systems formed as open-ended ensembles of special autonomic components. Such components encapsulate rules, constraints and mechanisms for self-management and acquire and process knowledge about themselves, other service components and their environment. In this paper, we present our approach to high-level model of structured knowledge and a formal model of awareness in such autonomic service-component ensembles.

Original languageEnglish
Title of host publicationProceedings - 2011 14th IEEE International Symposium on Object/Component/Service-Oriented Real-Time Distributed Computing Workshops, ISORCW 2011
Pages110-119
Number of pages10
DOIs
Publication statusPublished - 2011
Event2011 14th IEEE International Symposium on Object/Component/Service-Oriented Real-Time Distributed Computing Workshops, ISORCW 2011 - Newport Beach, CA, United States
Duration: 28 Mar 201131 Mar 2011

Publication series

NameProceedings - 2011 14th IEEE International Symposium on Object/Component/Service-Oriented Real-Time Distributed Computing Workshops, ISORCW 2011

Conference

Conference2011 14th IEEE International Symposium on Object/Component/Service-Oriented Real-Time Distributed Computing Workshops, ISORCW 2011
Country/TerritoryUnited States
CityNewport Beach, CA
Period28/03/1131/03/11

Keywords

  • ASCENS
  • awareness
  • knowledge representation

Fingerprint

Dive into the research topics of 'Knowledge representation and awareness in autonomic service-component ensembles - State of the art'. Together they form a unique fingerprint.

Cite this