Historians don’t know how many soldiers were at the battle that marked the beginning of the end of the Byzantine empire, or how long it took those soldiers to get there, or how their leaders even acquired the resources to keep them fed. But all of these questions are now being answered, or at least addressed, by a project called Medieval Warfare on the Grid.
Historical accounts put the size of the army led by Emperor Romanos IV Diogenes at the battle of Manzikert at up to 100,000 troops, but could an army that large really have been raised and supported in AD 1071? To find out, a group of computer scientists, archaeologists and historians teamed up to create what’s known as an ‘agent-based simulation’ of the Byzantine Army as it marched from Constantinople into what is now modern Turkey. (Here’s a paper on the research and a short video.)
Agent-based simulations model complex things like societies by simulating the simple ways that individuals in that population interact. At the head of those agents is an Emperor choosing, for example, the route the army will take, but the actual progress of its march consists of relatively straightforward things like setting up and breaking down camp, acquiring food, disseminating orders and the like. All of which this simulation includes.
This kind of simulation works because, as complicated as the behavior of individual humans might seem, in aggregate, crowds of humans aren’t so different from termites or birds or any other animal. Group behaviors like flocking and nest building can be achieved with just a few basic rules describing the inclinations and interactions of the individuals in a group.
While models of this kind can never definitively answer questions about the historical accuracy of various claims, they can eliminate some possibilities, while also helping to address matters on which historians are mostly silent. These include things like how the economies of medieval societies were structured (think of taxes, transportation and food production) in order to support large standing armies.
The agent-based simulator used in this case doesn’t simulate battles, because the decision-making that takes place in combat is too complicated to model at present. Just simulating how thousands of individual agents march from one location to another over a period of days requires significant parallel processing.
That doesn’t mean the agents in this simulation are immortal, however: the soldiers at right aren’t exactly napping. Run out of food and, well: An army, as they say, runs on its stomach.
Forget dating apps: Here’s how the net’s newest matchmakers help you find love
Fed up with apps, people looking for romance are finding inspiration on Twitter, TikTok—and even email newsletters.
How AI is reinventing what computers are
Three key ways artificial intelligence is changing what it means to compute.
These weird virtual creatures evolve their bodies to solve problems
They show how intelligence and body plans are closely linked—and could unlock AI for robots.
We reviewed three at-home covid tests. The results were mixed.
Over-the-counter coronavirus tests are finally available in the US. Some are more accurate and easier to use than others.
Get the latest updates from
MIT Technology Review
Discover special offers, top stories, upcoming events, and more.