The authors investigate how distributed artificial intelligence {(DAI)} techniques can contribute to today's complex and distributed measuring systems. The blackboard architecture is well-suited to measurement system design, where several aspects of the same problem should be considered simultaneously. On the other hand, intelligent agents can help to exploit the emerging knowledge resources in computer networks (like the Internet), and agent cooperation methods can open promising new perspective to the communication between measuring devices and controllers