Dimensions of Kernel Abstractions

Abstract

The ability to reuse lessons from past experiences is one of the most critical abilities for intelligent behavior. In this paper, we introduce three terms: kernel, kernel dimension, and kernelization. The first to describe what is being reused, the second to describe the size of what is being reused, and the last to describe the process of seeking past experience from present input. Based on the abnormalities of two psychiatric disorders, autism and schizophrenia, we hypothesize that the structure of the pyramidal neurons of the Prefrontal Cortex determines the dimension and we make two demonstrations with artificial intelligence - one to show that certain a structural property of influences the kernel dimension and the other to show that cognitive functioning is effected by the dimension of the kernel.