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

• 作者: Daniel Kovach
• 来源期刊: 现代非线性理论与应用(英文)
• 学科: 工学
• 关键词: Artificial INTELLIGENCE COMPUTER Science INTELLIGENCE GENETIC PROGRAMMING GENETIC ALGORITHMS Machine Learning
• 年，卷（期）: 2015,（1）
• 页码范围: 10-20
• 页数: 11页
• 分类号: TP3

摘要

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.