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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 - All business/finance/loan/mortgage related link can be found here Computers - All computer hardware/software/peripheral related link can be found here Internet - All webhosting/webdesign/internet marketing related link can be found here Software - All software related link can be found here Web Design - All web design/development related link can be found here Web Hosting - All web hosting related link can be found here Web Promotion - All search engine optimization/internet marketing related link can be found here Web Resources - All other web related link can be found here Recreation - All travel/hotel/cruise related link can be found here Casino - All online gambling/poker/blackjack/roulette related link can be found here Health - All online pharmacy/hospital/health related link can be found here Shopping - All online shopping/gift related link can be found here Miscellaneous - All other links can be found here 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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