Title :
Hypernetwork model of biological information processing
Author :
Segovia-Juárez, José L. ; Conrad, Michael
Author_Institution :
Dept. of Comput. Sci., Wayne State Univ., Detroit, MI, USA
Abstract :
A hierarchical architecture for information processing, the hypernetwork model, has recently been implemented. This is a three level model, inspired by biological systems, that includes representation of scale, vertical flow of information, and feedback control. All interactions are based on complementary relationships between molecular subunits. The system is molded to perform desired tasks through a variation-selection algorithm acting on the structure of the molecular subunits. The design of the system, the learning algorithm, and preliminary pattern classification results are presented
Keywords :
evolutionary computation; feedback; information theory; molecular electronics; neural net architecture; pattern classification; biological information processing; biological systems; feedback control; hierarchical architecture; hypernetwork model; learning algorithm; molecular subunits; pattern classification; scale; three level model; variation-selection algorithm; vertical information flow; Algorithm design and analysis; Biological system modeling; Biological systems; Computer architecture; Computer science; Evolution (biology); Feedback control; Information processing; Organisms; Pattern classification;
Conference_Titel :
Evolutionary Computation, 1999. CEC 99. Proceedings of the 1999 Congress on
Conference_Location :
Washington, DC
Print_ISBN :
0-7803-5536-9
DOI :
10.1109/CEC.1999.781976
