The document discusses the goals of artificial intelligence and limitations of symbolic approaches. It proposes that integrating diverse theories like neural networks, probabilistic methods, and fuzzy techniques can result in a more powerful approach than opposing theories. Specifically, it advocates for the use of fuzzy sets for knowledge representation and fuzzy logic for inference under uncertainty. The combination of fuzzy and neural network techniques is also discussed as a way to get closer to the goals of artificial intelligence.