Hybrid Intelligence: Bridging Logic and Machine Learning

This chapter explores the integration of programming logic and machine learning in artificial intelligence, arguing for a hybrid system that combines both approaches for enhanced problem-solving. It contrasts pattern recognition with reasoning, emphasizing the need for clear definitions and a logical framework to guide AI development. The discussion delves into the complexities of cognitive processes, the limitations of current model architectures, and the importance of broadening the understanding of intelligence in computational systems.