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Knowledge representation for self-adaptive behavior
Date
2012
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.
Supervisor
Description
peer-reviewed
Publisher
Association for Computing Machinery
Citation
C3S2E'12 Proceedings of the Fifth International C* Conference on Computer Science and Software Engineering;pp. 113-117
Files
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vassev.pdf
Adobe PDF, 682.16 KB
ULRR Identifiers
Funding code
Funding Information
European Research Council (ERC), Science Foundation Ireland (SFI)