AnthroNotes Volume 30 No. 2 Fall 2009 SIMULATING THE PAST TO EXPLORE THE FUTURE byJ. DanielRogers Throughout Earth's history there have been long periods in which the climate was relatively stable and other periods in which it was constantly changing, sometimes rapidly. Climate, as part of the environment, always has a deep impact on how people live. For a very long time, but especially since the beginning ofthe Industrial Revolution, people have played a significant role in climate change. As we ponder our options for developing a sustainable future, there is a profound need to understand how people around the world may be able to cope with change. But there is a problem; our information from the past is fuzzy and incomplete. The climatologists, for instance, who build projections for understanding future changes, may have quality weather data extending back only a few decades. Sometimes this informaton is not enough when we seek to understand trends occurring over the course of centuries. At the National Museum ofNatural History some of the scientists are turning to a new way to use the past to see into the future. It is called Agent-Based Modeling, a kind ofcomputer simulation that builds virtual societies in which each individual person, or family, in the simulation behaves according to social norms, but also in autonomous ways, much as real people do. Working with social and computer scientists from George Mason University, Smithsonian anthropologists devised a model of the societies that herd sheep, goats, camels, yaks, and horses on the steppe lands of Central and Inner Asia. Like an elaborate computer game, the agents (people) are born, get married, have Page 8 AnthroNotes Volume 30 No. 2 Fall 2009 2000 50000 100000 150000 200000 250000 300000 350000Time in Days children, visit their friends, share with family members whoare in trouble, remember their ancestors, and participate insocial groups. The agents also deal with problems, likedroughts, snow storms, and climate change.Using archaeological, historical, and ethnographicinformation on herding societies from around the world,each characteristic ofthe artificial society was painstakinglyprogrammed into the simulation using software calledMASON and Java. The first objective was to create an artificial society inspired by the Bronze Age (2000 to 500B.C.) of Inner Asia. The people of the Bronze Age weremembers of clans and had leaders we might call chiefs,but not kings. Later, vast empires would emerge from theInner Asian heart land, culminating in the great MongolEmpire under Genghis Khan in the 13 th and 14th centuries.The Bronze Age ancestors of the Mongol Empire are thestarting point, a kind ofbaseline on which to build a historythat never happened, but could have.The second objective was to take the replica ofthe Bronze Age society and actually put time in motion — the clock starts ticking and does not stop for a thousandyears. On a very powerful computer this process takesabout 2 actual days. The graph on this page shows thepopulation changes for one ofthe simulated histories. One thing to note right away is that a huge amount ofvariationand change is the norm. The human population is not evenremotely stable, nor does it decline or increase in a gradualway. Change is abrupt and sometimes catastrophic. Thething that accounts for most of this change is weather — snow storms and droughts. In Inner Asia these weatherevents sometimes kill nearly all ofa herder's animals. Whenthe animals die, the families cease to exist. This catastrophenearly happened around simulated year 330 ( 1 20,000 days)when the population dropped by 50% due to back-to-back winter snow storms and summer droughts.Even when climate is changing relatively quickly, as today, what people must adapt to are the extremes.Herders today, just as in the Bronze Age, must find waysto buffer against catastrophes. They can do this bydeveloping a resilient economy. Although they cannot stopthe snow storms, they can migrate, share resources, anduse other strategies. One ofthe keys for the herders is havingflexible social networks that allow change, rather thanadhering to rigid behaviors—a good lesson for us all.Dan Rogers is Chair, DepartmentofAnthropology, NationalMuseum ofNatural History. Pase 9