Learning Mechanism for Autonomous Agents
Meca Discit is a research project in AI to develop an unbounded learning process suitable for autonomous agents. The motivating context of the project is to add an open-ended but lightweight learning capability to the Knowledge Acquisition Phase of agents based on the Meca Sapiens Architecture.
The objective is to define a generic and scalable learning mechanism (Universal Cogitator) using the tools of Applied Mathematics, that integrates all aspects of learning and discovery into a single coherent and scalable structure.
Read the project statement HERE
The work is on going.