The Computational Theory of Intelligence: Applications to Genetic Programming and Turing Machines

TL;DR

This paper extends the Computational Theory of Intelligence to include genetic algorithms and Turing machines, discussing different types of computational processes and their implications across biology, computer science, and cybersecurity.

Contribution

It introduces active, passive, and hybrid computational intelligence processes within CTI and explores their applications and implications in various fields.

Findings

Introduction of active, passive, and hybrid computational intelligence processes

Discussion of reproductive and virility assumptions in CTI

Applications to biology, computer science, and cybersecurity

Abstract

In this paper, we continue the efforts of the Computational Theory of Intelligence (CTI) by extending concepts to include computational processes in terms of Genetic Algorithms (GA's) and Turing Machines (TM's). Active, Passive, and Hybrid Computational Intelligence processes are also introduced and discussed. We consider the ramifications of the assumptions of CTI with regard to the qualities of reproduction and virility. Applications to Biology, Computer Science and Cyber Security are also discussed.