These papers describe how, focusing on the public policy problem of global climate change. In real life, decision-makers faced with extreme uncertainty look for satisfycing solutions rather than a hypothetical optimum. That is, they recognize that in a fast-changing, uncertain environment, the best can be the enemy of the good. CAR provides a means to systematically find satisfycing solutions, in this case applied to a portfolio problem. Agent-based models are becoming increasingly popular in business simulation because they provide a means to incorporate important information, such as imperfect information or the diversity of preferences among consumers, that are poorly treated in more traditional modeling formalisms.
CAR provides a systematic means to extract the information contained in agent-based models.