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Where can I get a very simple introduction to all artificial intelligence methods with real world examples

I know that the field of Artificial Intelligence is very vast, and there are many books on it. But I just want to know any resource where I can get a simple introduction to all methods of artificial intelligence, such as

He would like to have a 1 or 2 page introduction of all the methods and their examples of how they can be applied or for what purpose they can be used. I'm interested in

  • Backpropagation algoritm
  • Hebbs Act
  • Bayesian Networks
  • Markov model chains
  • Simulated annealing
  • Tabu Search
  • Genetic Algorithms or Evolutionary Algorithms

Now there are many options and more AI methods. And everyone has a lot of books written on them. I can’t decide which algons I can use if I don’t know what they can do.

So, I can find them on 1-2 pages with sample applications

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The basics of metaheuristics cover some of them - I cannot promise that it will cover all of them, but I know that there is a well-simulated annealing and genetic algorithms. Probably at least some of the others, but I will have to reboot it to check. It is available for free download.

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(= tabu search without tabu) Drools Planner:

Local search

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this. API, GA, , (() ~ 600 ). , mvn exec:java , . ( , , ).

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