Neuroeconomics explores how neuroscience can inform economics by revealing the neural mechanisms underlying decision-making. Traditional economics assumes the brain is a "black box," but neuroscience now allows direct measurement of brain activity, challenging assumptions about the relationship between mind and action. Two approaches are distinguished: incremental, which adds variables to existing economic models, and radical, which rethinks economic theory from a neuroscience perspective. Neuroscience reveals that human behavior involves both automatic and controlled processes, as well as cognitive and affective systems. Automatic processes are fast, unconscious, and often driven by evolutionary adaptations, while controlled processes involve deliberate, conscious reasoning. Affective processes, such as emotions, also play a crucial role in decision-making, influencing choices through motivation and emotional responses. Neuroscience methods like brain imaging, single-neuron measurement, and electrical brain stimulation provide insights into how the brain processes information and makes decisions. These findings suggest that economic models should account for the interplay between automatic, cognitive, and affective processes. For example, decisions involving risk, intertemporal choice, and game theory may be better understood through neural mechanisms. Neuroscience also highlights the importance of emotional and motivational factors in economic behavior, challenging the traditional assumption that decisions are purely rational. As neuroscience continues to advance, it is likely to reshape economic theory by providing a more comprehensive understanding of human decision-making.Neuroeconomics explores how neuroscience can inform economics by revealing the neural mechanisms underlying decision-making. Traditional economics assumes the brain is a "black box," but neuroscience now allows direct measurement of brain activity, challenging assumptions about the relationship between mind and action. Two approaches are distinguished: incremental, which adds variables to existing economic models, and radical, which rethinks economic theory from a neuroscience perspective. Neuroscience reveals that human behavior involves both automatic and controlled processes, as well as cognitive and affective systems. Automatic processes are fast, unconscious, and often driven by evolutionary adaptations, while controlled processes involve deliberate, conscious reasoning. Affective processes, such as emotions, also play a crucial role in decision-making, influencing choices through motivation and emotional responses. Neuroscience methods like brain imaging, single-neuron measurement, and electrical brain stimulation provide insights into how the brain processes information and makes decisions. These findings suggest that economic models should account for the interplay between automatic, cognitive, and affective processes. For example, decisions involving risk, intertemporal choice, and game theory may be better understood through neural mechanisms. Neuroscience also highlights the importance of emotional and motivational factors in economic behavior, challenging the traditional assumption that decisions are purely rational. As neuroscience continues to advance, it is likely to reshape economic theory by providing a more comprehensive understanding of human decision-making.