Name
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. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1145/2347583.2347599 | C3S2E |
Keywords | Field | DocType |
vital connection,self-adaptive system,knowledge representation,appropriate action,operational environment,process knowledge,self-adaptive behavior,reasoning help,intelligent system,autonomic system,adaptive behavior,reasoning,knowledge representation and reasoning,adaptive system | Procedural knowledge,Body of knowledge,Knowledge representation and reasoning,Intelligent decision support system,Computer science,Knowledge-based systems,Model-based reasoning,Human–computer interaction,Self adaptive,Artificial intelligence,Perception | Conference |
Citations | PageRank | References |
11 | 1.08 | 4 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Emil Vassev | 1 | 263 | 41.81 |
| Mike Hinchey | 2 | 49 | 6.85 |
| Benoit Gaudin | 3 | 69 | 6.17 |