Information Processing by Selective Machines

Proceedings

article

Karthik Rajagopalan¹  Mark Burgin¹ 

[1]Department of Computer Science, University of California, Los Angeles ,(UCLA)

关键词: natural computing;    information processing;    correction;    selection;    processor;    language;    synergy;   

DOI  :  10.3390/proceedings2022081122

学科分类：社会科学、人文和艺术（综合）

来源: mdpi

【 摘 要 】

The goal of this paper is to develop the novel automaton model of learning processes called a selective machine and to study the properties of these machines. The model is based on the analysis of the process of language acquisition by people, although it correctly reflects how learning occurs in nature when animals, birds and even fish learn. A selective machine is an abstract automaton that has processors that can belong to different classes of conventional abstract automata. This creates various classes of selective machines. It is proved that in a general case, a selective machine can have higher learning abilities than any of its processors. This shows how synergy emerges in the technological sphere and explains why computer networks are able to outperform separate computers.

【 授权许可】

CC BY