The most important contribution of the recent research in measurement was that the measuring equipment is involved in the information processing and that instruments are actually specialized computer systems. Design of the instruments is seemingly a straightforward task, however, complex measurement problems are ill-conditioned and knowledge-intensive. Considerable portion of the measurement related knowledge is in such problems heuristic and non-analytic in character. To evaluate it and to inject it into the measuring system design require symbolic approaches developed in artificial intelligence field. In consequence complex `intelligent' measuring systems are coupled numerical-symbolic hybrid systems, with the knowledge intensive (expert) component cooperating with extensive numerical libraries. Such systems can even be embedded in other architectures designed for more abstract goals.
|Number of pages||11|
|Journal||Periodica Polytechnica Electrical Engineering|
|Publication status||Published - Jan 1 1998|
ASJC Scopus subject areas
- Electrical and Electronic Engineering