5
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Is the expert system still in use today?
Are there companies that still use expert systems?
There are still some expert system inference engines available in open source form, in particular CLIPS rules
A specialization of your question ...
5
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Accepted
Is the expert system still in use today?
I would say Expert Systems is still being taught. For instance, if you look at some of the open courses like MIT's, there are still lectures on it.
Also, looking at the CLIPS documentation, you will ...
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5
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What roles knowledge bases play now and will play in the future?
First of all, I would like to point out the main differences between knowledge base and (Deep) machine learning, specially when the main focus is on "AI" not "Data Science":
NNs are like a black box; ...
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5
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Accepted
Are CRUD webapps today the modern version of the "expert system"?
The key feature of an expert system is that the knowledge base is structured to be traversed by the inference engine. Web sites like Stack Exchange don't really use an inference engine; they do full-...
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4
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What roles knowledge bases play now and will play in the future?
Although asked over 3 years ago, the question is still interesting and while I agree with the original answer, a lot can be added to it.
First, I'd like to point out that the term "knowledge base&...
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4
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Are CRUD webapps today the modern version of the "expert system"?
No, I don't think there's any reason to say that - in general - CRUD apps "are" expert systems. A given CRUD app could incorporate an expert system, but by and large CRUD apps are considered among the ...
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4
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Is anybody still researching GOFAI?
Sure! There's the whole Semantic Web scene! OWL is derived from DLs and Frames, arguably has a lot in common with semantic networks too. Expert-driven decision support systems are still being ...
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3
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If expert systems are a bunch of if-then-else statements, then how are they termed as AI?
TL;DR: What makes AI is not if-then statements, but rather the automated reasoning that went into selecting those particular if-then statements.
You're focusing on the structure of the output rather ...
2
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Defining rules for an expert system
We cannot do homework for students in this network, however I can suggest that several items affecting cost and several usage patterns are missing and the number of rules is shy by an order of ...
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Is there any other (possibly less popular) approach to create AI apart from statistical methods?
Yes, there is symbolic AI. This was the 'original' approach to AI, at a time when there was very little data and/or processing power available. The focus was on logic and calculus, not on machine ...
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Is there any other (possibly less popular) approach to create AI apart from statistical methods?
What you're looking for are Expert systems and Knowledge Based Systems. Really similar to each other, they encompass all systems built upon experts knowledge, from which analytic rules are derived in ...
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Accepted
A comparison of Expert Systems and Machine Learning approaches in terms of run-time-efficiency and time/space complexity
My feeling from what I have generally read about machine learning approaches is that these adapt better to more complex problems with higher dimensionalities.
Your intuition seems to align with the ...
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Are Relational DBs and SQL used in Expert Systems?
A recent research example is the "Grind" system. Take a look at the paper Computing FO-Rewritings in $\mathcal{E} \mathcal{L}$ in Practice: from Atomic to Conjunctive Queries (2018) by Peter ...
1
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What roles knowledge bases play now and will play in the future?
It seems that Automated Knowledge Base Construction would be unfavorable.
As Matt Gardner noted in NLP Highlights in 2019 that:
Um, but I know that Google, for instance, canceled their knowledge base ...
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Are CRUD webapps today the modern version of the "expert system"?
CRUD applications today can't be considered expert systems.
However, even the so-called expert systems, which are currently developed, are implemented using normal programming statements, but what is ...
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