Where can I get very simple inroduction to all Artificial intelligent techniques with Real world Examples

Question

I know that Artificial Intelligence field is very vast and there are many books on it. But i just want to know the any resource where i can get the simple inroduction to all Artificail Intelligence techniques like

It would like to have 1 or 2 page introduction of all techniques and their examples of how they can be applied or for what purpose they can be used. I am interested in

1. Backpropagation Algoritm
2. Hebbs Law
3. Bayesian networks
4. Markov Chain Models
5. Simulated Annealing
6. Tabu Search
7. Genetic Algorithms or Evolutionary Algos

Now there are many variants and more AI techniques. And each one have many books written on them. i am unable to decide which algos i can use unless i know what they are capable of doing.

So can i find 1-2 page inroduction of them with Application examples

Answer 1

Essentials of Metaheuristics covers several of these - I can't promise it'll cover all of them, but I know there's good stuff on simulated annealing and genetic algorithms in there. Probably at least a few of the others, but I'd have to re-download it to check. It's available for free download.

It can be a bit light on the theory, but it'll give you a straightforward description, some explanation of when you'd want to use each, and a lot of useful pseudocode.