An introduction to KEDE-A hybrid knowledge engineering development environment

Abstract

A hybrid knowledge engineering development environment called KEDE is briefly introduced as a powerful tool for large artificial-intelligence problems. It provides five kinds of knowledge representation: extended frames, semantic nets, procedural knowledge, object-oriented technique and predicate logic. Correspondingly, it supports procedure-oriented, data-oriented, object-oriented and logic-oriented programming. KEDE gains a very powerful inheritance mechanism using frames. It further provides an automatic retrieval technique for processing implicit knowledge, a demon mechanism for firing predicates or functions, a message-sending mechanism for activating methods, and two inference engines for backward, forward and mixed reasoning.<>