Machine Learning for Intelligent Systems

Recent research in machine learning has focused on supervised induction for simple classi cation and reinforcement learning for simple reactive behaviors. In the process, the eld has become disconnected from AI's original goal of creating complete intelligent agents. In this paper, I review recent work on machine learning for planning, language, vision, and other topics that runs counter to this trend and thus holds interest for the broader AI research community. I also suggest some steps to encourage further research along these lines.

• Type: Conference
• Year: 1997
• Where: AAAI
• Authors: Pat Langley
• Keywords: AAAI 1997, Intelligent Agents, Machine Learning, Simple Classi Cation, Simple Reactive Behaviors