This directory contains two sample models built with PyIBL, a Python
implementation of a subset of Instance Based Learning Theory,
distributed by Carnegie Mellon University's Dynamic Decision Making
Laboratory. More information, including where to download PyIBL,
is available at http://pyibl.ddmlabl.com.

These versions of these sample models run against version 2.0
of PyIBL. The examples will not run against version 3.0 or later
versions of PyIBL, but updated versions of these examples will
be made available when PyIBL 3.0 is released.

The directory tpt contains an interated, binary choice task,
consisting of the sixty problems used as part of the Technion
Prediction Tournament in 2008.

The directory dd contains a multi-agent, iterated, binary choice task,
the Diners' Dilemma, again consisting of sixty different problems.
