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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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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What’s “strong” and “weak” Artificial Intelligence?

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

You’ve seen in my last post that John Searle created the Chinese room argument to explain how pattern matching shouldn’t be seen as intelligence. He also pointed out that you can think of AI in two different ways. He called them strong and weak artificial intelligence. With strong AI, a machine displays all the behavior […]

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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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