Talk:Forward chaining

message: I edited the example in the page two one that I see as better because:
1) both rule are required to come to a conclusion, and so 'inference' is truly required
2) it seems less open-ended/ambiguous to ask 'what color is fritz' than 'what is fritz'
3) these rules seem less contrived to me
--CH
Further edits (15th May 2006):
I added a similarly long explanation of the workings as there is for Backwards chaining.
I made only the first reference to 'frog' a wiki-word, but am still unsure whether even this is neccesary - who doesn't know what a frog is, and even then, how would that relevant to the example; Fritz might as well be a jabberwocky! (or jubjub bird etc.)
It would also be nice to expand on the 'dynamic' point, as I'm not sure it is that clear.
Finally, Both backwards *AND* Forwards chaining pages note that these methods are often used in expert systems; is this a contradiction?
--CH
I made the details of the same as for backward chaining with the same list of rules so it contrasts the  inference algorithms better. I only have an issue with the analogy used with "top-down" and "bottom-up" -- IMO data driven is bottom up (because you start with the nitty-gritty detail and end at an abstraction) and goal driven is top-down (begin with abstraction and work your way to the detail.) Think of language parsers as special examples of it: if you work the grammar rules from sentence down to parts and try to match words, you do top-down parsing, goal-driven. If you start with the words finding rules which match the sequence you see, then you do bottom-up parsing, data driven. So I removed the bottom-up / top-down language altogether. Gschadow 16:16, 29 September 2007 (UTC)
replies: text: I just wanted to comment on the question above: "Both backwards *AND* Forwards chaining pages note that these methods are often used in expert systems; is this a contradiction?" Its not a contradiction. Both forms are used. Some systems use one form only, forward chaining is probably the more typical but the more sophisticated rule systems (e.g., the one that was in KEE) could mix both forward and backward chaining with the same rule set. They are used for different purposes. When you want to assert everything that can asserted based on the current knowledge base you use forward chaining when you want to start with a conclusion and then find things that could be true in order to make your conclusion true (e.g., questions to ask the user) then you use backward chaining. --MadScientistX11 (talk) 01:39, 13 July 2016 (UTC)
thread_title: Untitled

message: The articles are about computer science terms.  If anything, they should be merged to Expert system.  WLU 22:06, 30 April 2007 (UTC)
replies: text: I don't agree they should be merged. They are fundamentally different (but related) topics. Expert systems usually (but not always) use forward or backward chaining rule systems but there are other techniques for expert systems as well such as case based reasoning. And rule systems are also used for many different applications besides expert systems. If anything I think that is more common these days, the term Expert System is mostly no longer used and rule engines are used in all sorts of ways as part of large CRM, ERP, and Business Integration tools.--MadScientistX11 (talk) 01:43, 13 July 2016 (UTC)
thread_title:  Merge 

message: This article was automatically assessed because at least one WikiProject had rated the article as stub, and the rating on other projects was brought up to Stub class. BetacommandBot 04:00, 10 November 2007 (UTC)
thread_title:  WikiProject class rating

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