Bumblebees are a model system for studying foraging behavior and critical pollinators in native ecosystems. Each day, an individual bee can visit thousands of flowers of multiple species that vary in the quality of the nutritional rewards they offer. Incorrect foraging choices between flowers can be costly, and we would expect strong selection on optimal decision-making strategies. However, their foraging behavior has not been addressed from the perspective of economic rationality, nor considering the full ecological context; most work has focused on their foraging for nectar (carbohydrates), yet bees also collect pollen (protein). My postdoctoral research in bumblebees has addressed how bumblebees make decisions between different types of flowers that vary in both their signals and rewards. So far, we have shown that while bees develop expectations about reward quality based on previous experience, these expectations are also influenced by experience with associated stimuli, such as floral signals (Hemingway and Muth 2022).