Constructivist Anticipatory Learning Mechanism (CALM) - dealing with partially deterministic and partially observable environments

摘要

This paper presents CALM (Constructivist Anticipatory Learning Mechanism), an agent learning mechanism based on a constructivist approach. It is designed to deal dynamically and interactively with environments which are at the same time partially deterministic and partially observable. We describe in detail the mechanism, explaining how it represents knowledge, and how the learning methods operate. We analyze the kinds of environmental regularities that CALM can discover, trying to show that our proposition follows the way towards the construction of more abstract or high-level representational concepts.