Consciousness and Adaptive Learning

This chapter explores the intricate connections between consciousness, attention, and memory in both humans and machines. It highlights how minor changes in perception can influence decision-making and understanding, drawing parallels between human adaptive skills and artificial intelligence capabilities. The discussion encompasses the role of attention mechanisms in enhancing machine learning, the contrasts between model-based and model-free reinforcement learning, and the active nature of conscious thought in navigating knowledge.