The latest version of the OpenNARS reasoning system comes with an example application which is a traffic intersection simulation. The general-purpose intelligent system NARS was build similar to the Prolog language as an inference system which is using a logic language and rules to predict the outcome of a system.
The concept goes beyond Narrow AI projects and is located within Artificial General Intelligence. The aim is to program a software which can handle many different tasks. Sometimes such a engine is called a cognitive architecture. In case of NARS the knowledge is stored in an extended form of grammar based probabilistic logic.
- OpenNARS 3.0+ https://github.com/opennars/opennars
- Wang, Pei, Xiang Li, and Patrick Hammer. "Self in NARS, an AGI System." Frontiers in Robotics and AI 5 (2018): 20.