Knowledge representation for adaptive and self-aware systems

被引：4

作者：

Vassev, Emil ^{[1
]}

Hinchey, Mike ^{[1
]}

机构：

[1] Lero–the Irish Software Engineering Research Center, University of Limerick, Limerick

来源：

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | 2015年 / 8998卷

关键词：

Adaptive behavior; Awareness; Knowledge representation; Reasoning; Self-adaptive systems;

D O I：

10.1007/978-3-319-16310-9_6

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This chapter presents the ASCENS approach to knowledge representation and reasoning for self-adaptive systems. The approach targets both the integration and promotion of autonomy and self-adaptation in software-intensive systems by providing a mechanism and methodology for specification and operation of knowledge for self-adaptive behavior. The approach is based on the KnowLang Framework, a formal approach to knowledge representation and reasoning developed within the ASCENS Project mandate. With KnowLang we build special knowledge bases meant to be integrated in software-intensive systems to establish the vital connection between knowledge, perception, and actions realizing self-adaptive behavior. At runtime, the knowledge is used against the perception of the world to generate appropriate actions in compliance to the system goals and beliefs. © Springer International Publishing Switzerland 2015.

引用

页码：221 / 247

页数：26

共 28 条

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