[ANN] CLIPSExamples 1.0 - a RevCLIPS demo app

[Mark Brownell]

On Wednesday, December 24, 2003, at 02:49  AM, Alex Rice wrote:

> RevCLIPS is CLIPS rule based/object based expert system engine 
> delivered as a Runtime Revolution external (native code library).
>
> For more information about RevCLIPS and the free download of 
> CLIPSExamples app <http://mindlube.com/developer/revclips/>

> Alex Rice <alex at mindlube.com>

Kool; COOL

Can't wait to see your source code for this CLIPSExamples 1.0. Thanks 
for the introduction to CLIPS and your hard work. This looks like 
something I could get into. I can't wait to get into expert systems 
with the AI capacity of CLIPS & Roulette patterns among groups of 
numbers occurring during multi-numbered events like 300 spins per 
full-event-cycle. I was going to write my own 80%, 85%, 95% & 100% 
if/then based system for checking patterns using Transcript for the 
rule based checking. Being new to CLIPS just today I will have to learn 
from your CLIPSExamples 1.0 source code.

I'm particularly interested in this:

 From this: http://www.ghg.net/clips/WhatIsCLIPS.html

"Rule-based programming is one of the most commonly used techniques for 
developing expert systems. In this programming paradigm, rules are used 
to represent heuristics, or "rules of thumb," which specify a set of 
actions to be performed for a given situation. A rule is composed of an 
if portion and a then portion. The if portion of a rule is a series of 
patterns which specify the facts (or data) which cause the rule to be 
applicable. The process of matching facts to patterns is called pattern 
matching. The expert system tool provides a mechanism, called the 
inference engine, which automatically matches facts against patterns 
and determines which rules are applicable. The if portion of a rule can 
actually be thought of as the whenever portion of a rule since pattern 
matching always occurs whenever changes are made to facts. The then 
portion of a rule is the set of actions to be executed when the rule is 
applicable. The actions of applicable rules are executed when the 
inference engine is instructed to begin execution. The inference engine 
selects a rule and then the actions of the selected rule are executed 
(which may affect the list of applicable rules by adding or removing 
facts). The inference engine then selects another rule and executes its 
actions. This process continues until no applicable rules remain."

Merry Christmas & Thanks,

Mark Brownell