Artificial Intelligence systems have made remarkable progress in recent years, with applications ranging from autonomous driving to natural language processing. However, these systems often specialize in either knowledge-based reasoning or pattern recognition, rarely excelling at both simultaneously. This paper aims to analyze the trade-offs between these two approaches and explore the potential and challenges of combining them.
