Humans acquire their most basic physical concepts early in development, but continue to enrich and expand their intuitive physics throughout life as they are exposed to more and varied dynamical environments. We introduce a hierarchical Bayesian framework to explain how people can learn physical theories across multiple timescales and levels of abstraction.
The implementation of this computational model requires Ikarus scheme. Follow these instructions to install Ikarus and run the model:
Log into a compatible computer. We recommend launching a 32-bit Ubuntu version such as
ubuntu-trusty-14.04-i386-server-20140724 on EC2. To find this machine image, search for
ami-07b4b742 under Community AMIs. After launch, log in:
ssh -i my-keypair.pem ubuntu@ec2-...compute.amazonaws.com
Install required packages:
sudo apt-get update sudo apt-get install build-essential autoconf m4 automake perl sudo apt-get install libgsl0-dev libffi-dev libgmp3-dev sudo apt-get install git unzip bzr
Install Ikarus Scheme:
wget http://stuhlmueller.org/data/ikarus.zip unzip ikarus.zip cd ikarus.dev-derick ./configure --enable-libffi make sudo make install cd ..
git clone https://github.com/stuhlmueller/scheme-tools.git export IKARUS_LIBRARY_PATH=~/scheme-tools/:$IKARUS_LIBRARY_PATH
Download the “Learning Physics” Scheme code:
wget http://stuhlmueller.org/data/ullman-physics2015.zip unzip ullman-physics2015.zip export IKARUS_LIBRARY_PATH=~/ullman-physics2015/:$IKARUS_LIBRARY_PATH
Run the Scheme code (in this example: world 1, scenario 2):
cd ullman-physics2015 mkdir inference mkdir inference/world1/ ikarus --script run-inference.ss 1 2
The inference results are written to
A note on runtime: A forward-step of simulating physics is on the order of a second. However, depending on your setup and the number of theories being inferred, the inference step may take several hours.