The Computational Theory of Intelligence: Feedback

• 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: NEURAL NETWORKS FEEDBACK INTELLIGENCE COMPUTATION Artificial INTELLIGENCE LYAPUNOV Stability
• 年，卷（期）: 2017,（2）
• 页码范围: 70-73
• 页数: 4页
• 分类号: TP1

摘要

In this paper we discuss the applications of feedback to intelligent agents. We show that it adds a momentum component to the learning algorithm. We derive via Lyapunov stability theory the condition necessary in order that the entropy minimization principal of computational intelligence is preserved in the presence of feedback.