Abstract
Probabilistic conditionals are a powerful means for expressing uncertain knowledge. In this paper, we describe a system implemented in Java performing probabilistic reasoning at optimum entropy. It provides nonmonotonic belief change operations like revision and update and supports advanced querying facilities including diagnosis and what-if-analysis.
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.
