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| Content Provider | ACM Digital Library |
|---|---|
| Author | Vassev, Emil Gaudin, Benoit Hinchey, Mike |
| 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. |
| Starting Page | 113 |
| Ending Page | 117 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781450310840 |
| DOI | 10.1145/2347583.2347599 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2012-06-27 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Self-adaptation Reasoning Knowledge representation |
| Content Type | Text |
| Resource Type | Article |
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