Distributed Artificial Intelligence Models for Knowledge Discovery in Bioinformatics

Abstract

The increased volume of existing information on biological processes and the use of large databases have significantly increased the accessibility of datasets to the scientific community. This has enabled performing an analysis to facilitate the extraction of relevant information or modeling and optimizing tasks in different processes. Parallel to the increasing volumes of information is the emergence of new or adapted distributed computing models such as grid computing and cloud computing. These management systems along with new techniques of artificial intelligence, or more specifically knowledge discovery, are making it possible to perform an analysis of the information in a more efficient manner and are enabling the creation of adaptive systems with learning ability.