title: New developments in inductive learning
abstract: Any intelligent system, whether natural or artificial, must have three characteristics: knowledge, reasoning, and learning. Artificial intelligence (AI) studies these three aspects in artificial systems. Briefly, we could say that knowledge refers to the system's world model, and reasoning to the manipulation of this knowledge. Learning is slightly more complex; the system interacts with the world and as a consequence it builds onto and modifies its knowledge. This process of self-building and self-modifying is known as learning. This thesis is set within the field of artificial intelligence and focuses on learning. More specifically, it deals with the inductive learning of decision trees
keyphrases: new developments inductive learning intelligent system knowledge reasoning artificial intelligence decision trees