Abstract
Studies a new method for integrating forward and backward chaining controls based on a Rete network. The authors introduce the concept of the hypothesis objects, and augment the production rule format by adding the hypothesis condition elements in the LHS part of a rule, which control the forward and backward chaining invocation of rules. To be applied to the backward chaining, a modified version of the Rete network has been formulated by adding the hypothesis-and-nodes and backward direction edges to the node network generated by the Rete algorithm. The authors then develop a backward chaining algorithm which takes advantage of already existing partial match results obtained by the previous forward chaining. The forward and backward chaining can be naturally integrated via the generation of hypotheses from forward chaining inference. The whole mixed inference process has the potential advantages over purely forward and backward chaining strategy.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: 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.