Machine learning for intelligent bioinformatics: part 2 intelligent control integration

Authors:
Aboubekeur Hamdi-Cherif
Affiliations:
Université Ferhat Abbas Setif, Faculty of Engineering, Computer Science Department, Setif, Algeria and Computer College, Computer Science Department, Qassim University, Buraydah, Saudi Arabia
Venue:
AIKED'10 Proceedings of the 9th WSEAS international conference on Artificial intelligence, knowledge engineering and data bases
Year:
2010

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Abstract

This paper reports the description of a three-level framework for bioinformatics, characterizing intelligence-free programs, artificial intelligence-based programs and intelligent control programs, as a first, second, and third level, respectively. Each of these levels is the direct mapping of corresponding historical development in understanding, abstraction and complexity of the field. The far-reaching aim of the present framework is that it is supposed to offers specialists, via intelligent control, the capability to use external intelligent control actions to hopefully produce novel elements such as new drugs for existing and actually incurable diseases, or ultimately to design useful ethically-monitored biological systems.