MLM Home Page - José Ferreira de Castro

The main purpose of this page is to make available the work in progress related to the Measurement Logic Machine (MLM) and the corresponding Measurement Logic (M-Logic). The latter is a theoretical framework for a machine that includes a  fast online reinforcement learning method that rapidly discovers and uses the regularities of the surrounding world to perform inference in non-stationary environment. The MLM provides a simple and intuitive basis for a unified theory of cognition.

I encourage the interested reader to download and try the latest Python 3.4.3 (Anaconda) version, found in the Source Codes and Tutorials subpage. There are specific and updated explanations there, including the most up-to-date Power-Point presentations. If you need further explanations, just send me an e-mail to CastroJFGF@gmail.com.

 Over the years, the M-Logic Machine concept has been implemented and tested with several programs written in XSB Prolog and Python (versions 2.7.2 and 3.3.4). A Magabot was also used to test the concept with a real robot. 

The current M-Logic Machine offers straightforward answers to many epistemological puzzles, clarifying the notions of knowledge and belief.