Human decision-making strategies are strongly influenced by an awareness of certainty or uncertainty (a form of metacognition) to increase the chances of making a right choice. Humans seek more information and defer choosing when they realize they have insufficient information to make an accurate decision, but whether animals are aware of uncertainty is currently highly contentious. To explore this issue, we examined how honey bees (Apis mellifera) responded to a visual discrimination task that varied in difficulty between trials. Free-flying bees were rewarded for a correct choice, punished for an incorrect choice, or could avoid choosing by exiting the trial (opting out). Bees opted out more often on difficult trials, and opting out improved their proportion of successful trials. Bees could also transfer the concept of opting out to a novel task. Our data show that bees selectively avoid difficult tasks they lack the information to solve. This finding has been considered as evidence that nonhuman animals can assess the certainty of a predicted outcome, and bees' performance was comparable to that of primates in a similar paradigm. We discuss whether these behavioral results prove bees react to uncertainty or whether associative mechanisms can explain such findings. To better frame metacognition as an issue for neurobiological investigation, we propose a neurobiological hypothesis of uncertainty monitoring based on the known circuitry of the honey bee brain.O ften a correct choice can only be estimated rather than absolutely known. To aid in this estimation, humans are able to monitor their degree of uncertainty and use that knowledge to improve their decisions (1, 2). The ability to monitor one's own cognitive processes is considered a form of metacognition (1, 2). When uncertain, humans will often defer choosing and seek more information rather than risk the consequences of a wrong choice. Whether the ability to monitor uncertainty exists in nonhuman animals is currently highly contentious. Smith et al. (3,4) developed the opt-out paradigm to test uncertainty monitoring in animals in which an animal must solve a discrimination task that varies in difficulty. The animal is rewarded when correct and punished for an incorrect choice. A third option is then introduced where the animal can "opt out" by responding in some different way to avoid the discrimination task, thereby usually beginning a new trial. If animals opt out more on difficult than easy tasks, if opting out improves performance on difficult tasks, and if they can apply the opt-out strategy to a novel task, then this has been taken as evidence that animals can modify their decision-making strategy based on their degree of uncertainty. This result has been reported for nonhuman primates, dolphins, dogs, and rats (3-12). However, some strongly argue that all comparative studies using opt-out paradigms can be explained through associative mechanisms that do not require judgments of uncertainty (3,(13)(14)(15).Because two alternative mechanisms have be...