Making robots more chatty with minsky frames

Autonomous robots in the past were mostly silent systems which aren't talking but processing information. This makes it hard to debug the AI software.

The screenshot shows an alternative which is a very chatty maze robot. His task is to move around and recharge its battery when its empty. The AI brain consists of mulitiple Minsky frames with key/value information. Technically it was realized as python dictionary shown in text overlay windows.

The surprising situation is, that even such a minimal robot game consists of huge amount of information. There are raw sensor data itself like the position but there are also semantic information like the location in the map and the planned actions.

Creating a Minsky frame itself is not very complicated because its a normal python dictionary. What makes the datastructure powerful is, that frames are written information. They are stored in a database and this allows to add information and translate the existing Minsky frames into new information. For example the planned actions of the robot can only be determined if the existing frames are available which are analyzed.

In other word, the AI isn't a list of algorithms, but the AI is a database distributed over hierarchical key/value data.