By Dennis Merritt
This publication is aimed toward the Prolog programmer attracted to both construction professional platforms or experimenting with quite a few professional process options. Dennis Merritt chooses a step by step method of construction structures, explaining the options and displaying the Prolog code at every one degree. The booklet builds on easy starting structures and progresses as much as quite subtle specialist process instruments. It doesn't emphasize strategies of good judgment programming or the particularities of Prolog, yet relatively, emphasizes Prolog as a good software program improvement software, and teaches tips to construct professional structures and layout the required instruments. it's endorsed (but no longer required) that the reader use a Prolog interpreter in addition to interpreting this ebook to test with some of the Prolog examples given in the course of the textual content.
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Extra info for Building expert systems in Prolog
2 Major predicates of the Clam shell Starting the Inference The consult command does a little more than just call findgoal. It calls top_goals which uses the top_goal facts to start the inference. The system might have more than one top_goal to allow sequencing of the consultation. For example a diagnostic system might have two goals, the first diagnoses the problem, and the second recommends a solution. After top_goals satisfies a goal, it prints the values for the goal as seen in the early examples of Car.
If it succeeds, it continues with the rest of the goals in the list. It it fails, it backtracks and finds the next clause whose head unifies with the Goal. This interpreter will only handle pure Prolog whose clauses are asserted in the database. It has no provisions for built-in predicates. These could be included by adding a final catchall clause: prove(X) :- call(X). For Native we do not intend to have Prolog built-in predicates, but we do intend to call ask and menuask. For the Native shell these are our own built-in predicates.
A simple one would just use a few text modifiers such as weak, very weak, or strong and have rules for combining them. Implement this or some other scheme in Clam. 3 Isolate the predicates that are used for calculating certainty factors, such that it is easy to add additional methods. Implement them so the calling predicates do not need to know the syntax of the certainty factor, since they might be text, numbers, or more complex data structures. 4 Allow rules to have optional threshold values associated with them, which override the default of 20.
Building expert systems in Prolog by Dennis Merritt