The latest version of the OpenNARS reasoning system comes with an example application which is a traffic intersection simulation.[1] 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.[2]

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.


  1. OpenNARS 3.0+
  2. Wang, Pei, Xiang Li, and Patrick Hammer. "Self in NARS, an AGI System." Frontiers in Robotics and AI 5 (2018): 20.
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