Expert System for Diagnosing Vertebrate Animals with Visual Prolog 8.0

Abstract

This study presents an expert system based on prologue to diagnose types of vertebrate animals (vetebrata). Most animals migrate from one place to another far away, and some of them just stop for a moment. They often move from their birthplace where they breed a great distance. This condition makes researchers or people who care about the Environment difficult to classify the various types of vetebrata animals they find. This expert system is intended to help them to solve the common problem of identifying vertebrate animals (vetebrata) with an efficient approach and results orientation. This expert system knowledge is incorporated into an integrated knowledge base using “if-then” rules. The conclusion of this expert system was taken by using forward chaining inference mechanism. With accurate knowledge and serious testing, this system can help the diagnosis process quickly and accurately. Prolog-based expert systems can also be used as educational tools in the field of Biology, which can be used by the general public or parties concerned with environmental sustainability.