Meta-Level Knowledge: Overview and Applications
–AI Classics/files/AI/classics/KSL REPORTS/Report 77-16.pdf
A range of different encoding techniques have been developed, along with a number of approaches to applying knowledge. Most of the effort to daze however, has concentrated on representing and manipulating knowledge about a specific domain of application, like game-playing ([14D, natural language understanding ([153, [19]), speech understanding ([8], [II)), chemistry ([7]), etc. This paper explores a number of issues involving representation and use of what we term meta-level knowledge, or knowledge about knowledge'. It begins by defining the term, then exploring a few of its varieties and considering the range of capabilities it makes possible. Four specific examples of meta-level knowledge are described, and a demonstration given of their application to a number of problems, including interactive tranfer of expertise and the "intelligent" use of knowledge. Finally, we consider the long term implications of the concept and its likely impact on the design of large programs.
Jan-25-2015, 20:42:49 GMT
- Genre:
- Research Report (0.50)
- Industry:
- Banking & Finance > Trading (0.46)
- Health & Medicine (0.46)
- Technology:
- Information Technology > Artificial Intelligence
- Cognitive Science > Problem Solving (1.00)
- Natural Language (1.00)
- Representation & Reasoning
- Expert Systems (1.00)
- Metareasoning (0.82)
- Rule-Based Reasoning (1.00)
- Search (1.00)
- Information Technology > Artificial Intelligence