Artificial Intelligence (AI) and Search Engines (SEO)

Artificial Intelligence (AI) and Search Engines (SEO)because the initial pool of data may no longer be
05th August 2006valid. They are slow and expensive, but are
Author: Thomas Guilleswidely used: stock market prediction, electronic
By Jose Nuñezcircuit design, traveling salesman problem,
For software to be considered intelligent, it mustinternational equity strategies, etc.
have the ability of making decisions. By interactingArtificial Neural Networks (ANN): Used for pattern
with its environment through sensors and actingrecognition, and classification tasks in particular.
inits environment through effectors. They interactThey deal well with imprecise data, as they can
by searching, comparing, learning...There haveclassify as "not too sure". There's plenty of
been at least 7 types of intelligent agentsdifferent kinds of neural nets: Recurrent, Hopfield
identified: collaborative, interface, mobile,Network, Bolzman Mmachine, SVM,
information, reactive, hybrid, and smart.Self-Organizing-Maps among others.
The most common agents for SEOs are theSemantic Networks (SN): These show the
information ones. These are important because ofrelationships and concepts. First a graph is created
their power search capabilities. But each agent iscontaining nodes which represent concepts and
given a very small, well-defined purpose. Andlinks used to represent reltionships between the
there are several running in parallel to each other,concepts. There are six types of Semantic
to achieve an overall task. A.I. uses differentNetworks: Categories, Definitional, Assertional,
methods to build up search agents.Implicational, Executable, Learning, Hybrid.
Genetic Algorithms (GA): These are used inJose Nuñez is a Scientific SEO/SEM
random search procedures. They are reallySpecialist, PHD in Computer Engineering
efficient on problems that are very difficult toTechnology.
solve. Using them on dynamic data sets is difficult,