Often, in real-world situations, humans tend to make decisions heuristically, that is, by not integrating all of the information at their disposal. They choose not the optimal strategy, but rather one that would suffice to give satisfaction of their needs at some specific level. This tends to happen in situations in which there is not sufficient information, there is noisy information, and/or a time pressure. Our project is to investigate how humans and non-human primates choose and utilize heuristic decision-making strategies through psychophysical and neurophysiological experiments involving a lack of information and/or time. I am also investigating how distractors that can shift attention away from the task at hand affect performance and decision-making strategies. The overall goal is to be able to model these adaptive paradigms to implement in an autonomous system.