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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. Genetic Algorithms (GA): These are used in random search procedures. Business - Directory of business/finance/loan/mortgage related partner sites Computers - Directory of computer hardware/software/peripheral related partner sites Internet - Directory of webhosting/webdesign/internet marketing related partner sites Software - Directory of software related partner sites Web Design - Directory of web design/development related partner sites Web Hosting - Directory of web hosting related partner sites Web Promotion - Directory of search engine optimization/internet marketing related partner sites Web Resources - Directory of other web related partner sites Recreation - Directory of travel/hotel/cruise related partner sites Casino - Directory of online gambling/poker/blackjack/roulette related partner sites Health - Directory of online pharmacy/hospital/health related partner sites Shopping - Directory of online shopping/gift related partner sites Miscellaneous - Directory of all other partner sites
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. Semantic Networks (SN): These show the relationships and concepts. First a graph is created containing nodes which represent concepts and links used to represent reltionships between the concepts. There are six types of Semantic Networks: Categories, Definitional, Assertional, Implicational, Executable, Learning, Hybrid. |
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