FRACTALS IN CELLULAR SYSTEMS AS SOLUTIONS FOR COGNITIVE PROBLEMS
Philip VAN LOOCKE · Fractals · 2000
A cellular method for the solution of function approximation and classification problems is introduced. It solves problems of the type solved by connectionist networks, but has an advantage of visualization. Solutions of complex, high-dimensional and non-linear problems correspond to sets of units that define fractal, two-dimensional patterns of aesthetic attractiveness. These sets, in turn, can be considered as patterns, and stored with a classic connectionist learning rule in a network. Then, one obtains a network in which the memorized patterns correspond to meta-patterns in the sense that they correspond to mappings between input and output patterns.