[instakill]

The question is an interesting one but it's futile in its context. You can't build a prediction engine for cattle movement. Adding factors like weather, food etc. seems well and dandy but there's hundreds if not thousands of other factors that are definitely going to be missing and that will render the prediction events pointless.

Never mind the fact that you can throw in black swan type of events into the mix or just unknown unknowns you could never think of (maybe a cow has a frog phobia and panics when it sees the frog and starts a stampede or whatever it is that cattle do).

[mmcnickle]

You can't predict how an individual cow will move, but it's perfectly acceptable to use models to predict how cattle generally move. Similar to the way we use models to predict how humans navigate hallways and find paths across grass.[1] When you have a bulk of interacting particles, it tends to remove the "personality" of the individual, leaving you with how the group as a whole will move.

Philip Ball's (former editor of Nature) book Critical Mass[2] is an excellent read about the interesting effects that happen when you look at large number of complex interacting actors. He discusses the effects in traffic, pedestrian models, finance, plant growth etc. I highly recommend it.

[1]http://www.youtube.com/watch?v=8SmRBTJ-jeU This is just a video I picked out quickly, there are much better resources, I just can't find them on my phone.

[2]http://www.amazon.co.uk/Critical-Mass-Thing-Leads-Another/dp...

[Evbn]

Yeah, it is as silly as trying to predict the weather.