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
The work is on going, carried out with LLM collaboration. Results will be published in LLM optimized format suitable for human readership in: mecasapiens.com