The Computational Theory of Intelligence: Data Aggregation

• 作者: Daniel Joseph 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 MACHINE LEARNING MEME
• 年，卷（期）: 2014,（4）
• 页码范围: 145-149
• 页数: 5页
• 分类号: TP3

摘要

In this paper, we will expound upon the concepts proffered in [1], where we proposed an information theoretic approach to intelligence in the computational sense. We will examine data and meme aggregation, and study the effect of limited resources on the resulting meme amplitudes.