Abstract
Owing to the increasing complexity of traditional real-time systems, there is a growing interest in applying AI techniques, and in particular knowledge-based systems, in this domain. However, the time- and memory-consuming AI algorithms, with unpredictable or highly variable performances, are usually not compatible with the strict requirements of real-time systems. The paper describes a software environment well adapted to the development and delivery of real-time knowledge-based systems. This environment is built around a multi-agent, multitask real-time architecture based on the blackboard model. The main aspect of the developed architecture is its ability to provide guaranteed response times, through the use of various scheduling techniques, among which is progressive reasoning. >
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
