Part of my quest to learn more about rules-engines involved the desire to find a really good approach for knowledge management. The short story is that when you work with a subject matter expert (SME), you need to find some good way to capture the domain data and behavior, the rules, actions, and everything else [...]
Tag Archives: Knowledge Engineering
You know that advice “trust but verify”? It couldn’t be more true when it comes to the realm of applied or narrow artificial intelligence, specifically with respect to rules-engines. There is more dis-information out there on rules-engines than on any other tech topic that I’ve ever researched. It is really, really shocking the amount of [...]
Any sufficiently complicated enterprise system contains an ad-hoc, informally-specified bug-ridden slow implementation of half of a rules engine. Ok, Post didn’t really say it I’m just having a little fun here paraphrasing Greenspun. Think about it though; it works!
Part of my path to knowledge engineering mastering has been to read everything available out there today about the modern knowledge engineering landscape. IntelliFest graciously posted all of their presentations from 2010-2012, and all of them are helpful. The following, though, were particularly helpful to me, and I wanted to share which ones and why, [...]