Using an expert system instead of machine learning

19 Mar 2018 | Tags: , , | Posted by Doug Rose

Prior to starting an AI project, the first choice you need to make is whether to use an expert system (a rules based system) or machine learning. Basically the choice comes down to the amount of data, the variation in that data and whether you have a clear set of steps for extracting a solution […]

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How AI and deep learning relates to big data

12 Mar 2018 | Tags: , , , , | Posted by Doug Rose

Fueling the rise of machine learning and deep learning is the availability of massive amounts of data, often referred to as big data. If you wanted to create an AI program to identify pictures of cats, you could access millions of cat images online. The same is true, or more true, of other types of […]

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When to use symbolic or planning AI?

12 Feb 2018 | Tags: , , , , , , | Posted by Doug Rose

The symbolic approach and AI planning work great for applications that have a limited number of matching patterns; for example, a program that helps you complete your tax return. The IRS provides a limited number of forms and a collection of rules for reporting tax-relevant data. Combine the forms and instructions with the capability to […]

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The difference between AI learning and memorizing

05 Feb 2018 | Tags: , , | Posted by Doug Rose

There’s a big difference between memorizing and learning. Imagine that you were looking at these eight images. You would probably quickly recognize that these are eight different breeds of dogs. Now imagine I showed you this picture. Would you know what it is? How would you know what it is? You’ll notice that it’s not […]

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What is an artificial intelligence planning system?

29 Jan 2018 | Tags: , , , , , , | Posted by Doug Rose

In the late 1980s early expert systems started to disappear, but a symbolic approach remained. Today, you see it in what’s called artificial intelligence planning — a branch of AI that employs strategies and action sequences to enhance the computer’s ability to match symbols and patterns. AI planning attempts to solve the problem of combinatorial […]

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Artificial intelligence general problem solver

15 Jan 2018 | Tags: , , | Posted by Doug Rose

One of the very first attempts at artificial intelligence was in 1956. Allen Newell and Herbert A. Simon created a computer program they called the general problem solver. This program was designed to solve any problem that could be presented in the form of mathematical formulas. Newell and Simon – Courtesy Carnegie Mellon University Libraries […]

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