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For software to be considered intelligent, it must have the ability of making decisions. By interacting with its environment through sensors and acting in its environment through effectors. They interact by searching, comparing, learning...There have been at least 7 types of intelligent agents identified: collaborative, interface, mobile, information, reactive, hybrid, and smart. The most common agents for SEOs are the information ones. These are important because of their power search capabilities. But each agent is given a very small, well-defined purpose. And there are several running in parallel to each other, to achieve an overall task. A.I. uses different methods to build up search agents. Business - Click the link on the left to visit our partner sites under business/finance/loan/mortgage category Computers - Click the link on the left to visit our partner sites under computer hardware/software/peripheral category Internet - Click the link on the left to visit our partner sites under webhosting/webdesign/internet marketing category Software - Click the link on the left to visit our partner sites under software category Web Design - Click the link on the left to visit our partner sites under web design/development category Web Hosting - Click the link on the left to visit our partner sites under web hosting category Web Promotion - Click the link on the left to visit our partner sites under search engine optimization/internet marketing category Web Resources - Click the link on the left to visit our partner sites under other web category Recreation - Click the link on the left to visit our partner sites under travel/hotel/cruise category Casino - Click the link on the left to visit our partner sites under online gambling/poker/blackjack/roulette category Health - Click the link on the left to visit our partner sites under online pharmacy/hospital/health category Shopping - Click the link on the left to visit our partner sites under online shopping/gift category Miscellaneous - Click the link on the left to visit our partner sites under all other categories Genetic Algorithms (GA): These are used in random search procedures. They are really efficient on problems that are very difficult to solve. Using them on dynamic data sets is difficult, because the initial pool of data may no longer be valid. They are slow and expensive, but are widely used: stock market prediction, electronic circuit design, traveling salesman problem, international equity strategies, etc. Artificial Neural Networks (ANN): Used for pattern recognition, and classification tasks in particular. They deal well with imprecise data, as they can classify as "not too sure". There's plenty of different kinds of neural nets: Recurrent, Hopfield Network, Bolzman Mmachine, SVM, Self-Organizing-Maps among others.
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