{"pk":26657,"title":"Data Shows Human Behavior is Not Random, period.","subtitle":null,"abstract":"Simulations of many people’s decisions are used in public health and safety as well as to support policymaking.These simulations rely on creditable models of individual decision-making. An obvious approach is to develop a list of plausibleactions and to then evaluate the benefits of each in the current situation to make the decision. However, such evaluations canbe implausible, e.g., zero-intelligence traders in economics, or impracticable because the approach is computationally intensivefor large-scale simulations. As a result, a commonly used approach is to select randomly from the plausible actions. Withoutdata on how people would actually chose, a random number from a uniform distribution over the plausible options is often usedto represent the unknown cognition. However, we claim that substituting a uniform random distribution for how people makedecisions is making very strong claims about the process and we will present data demonstrating it is simply wrong.","language":"eng","license":{"name":"","short_name":"","text":null,"url":""},"keywords":[],"section":"Member Abstracts","is_remote":true,"remote_url":"https://escholarship.org/uc/item/5kb7x33x","frozenauthors":[{"first_name":"William","middle_name":"G.","last_name":"Kennedy","name_suffix":"","institution":"George Mason University","department":""}],"date_submitted":null,"date_accepted":null,"date_published":"2016-01-01T18:00:00Z","render_galley":null,"galleys":[{"label":"PDF","type":"pdf","path":"https://journalpub.escholarship.org/cognitivesciencesociety/article/26657/galley/16293/download/"}]}