Knowledge representation for self-adaptive behavior

Emil Vassev, Mike Hinchey, Benoit Gaudin

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

Abstract

An autonomic system is considered to be a self-adaptive system that changes its behavior in response to stimuli from its execution and operational environment. Such behavior is considered autonomic and self-adaptive and is intended to drive intelligent systems in situations requiring adaptation. Such systems encapsulate rules, constraints and mechanisms for self-adaptation and acquire and process knowledge about themselves and their environment. In this paper, an approach to knowledge representation and reasoning for self-adaptive behavior is presented. The approach is formal and demonstrates how knowledge representation and reasoning help to establish the vital connection between knowledge, perception, and actions realizing the self-adaptive behavior. The knowledge is used against the perception of the world to generate appropriate actions in compliance to some goals and beliefs.

Original languageEnglish
Title of host publicationProceedings - C Conference on Computer Science and Software Engineering, C3S2Ea'12
Pages113-117
Number of pages5
DOIs
Publication statusPublished - 2012
Event5th International C Conference on Computer Science and Software Engineering,C3S2E 2012 - Montreal, QC, Canada
Duration: 27 Jun 201229 Jun 2012

Publication series

NameACM International Conference Proceeding Series

Conference

Conference5th International C Conference on Computer Science and Software Engineering,C3S2E 2012
Country/TerritoryCanada
CityMontreal, QC
Period27/06/1229/06/12

Keywords

  • knowledge representation
  • reasoning
  • self-adaptation

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