Abstract:
What is the relationship between learning and reasoning? Much recent work in machine learning has been criticized for focusing on learning and ignoring reasoning. This paper attempts to describe the various ways in which machine learning research has (and has not) incorporated reasoning. The paper argues that there are important computational, statistical, and engineering constraints that have produced the current state of affairs. These reasons are reviewed and assessed in the light of future research directions.
