Learning and Learning to Learn
Learning and Learning to Learn
This chapter, which examines the modeling of human learning, proposes a particular model of learning and shows that it can accommodate basic insights and intuitions about learning. It considers some basic choices in modeling deterministic behaviorism, inductivism, and fallibilism. The chapter also discusses the capability of the proposed model to salvage both the “betting odds” interpretation of personal degrees of belief and the fallibilist approach that undergirds inference from the known to the unknown.
Keywords: modeling, human learning, intuitions, deterministic behaviorism, inductivism, fallibilism
Stanford Scholarship Online requires a subscription or purchase to access the full text of books within the service. Public users can however freely search the site and view the abstracts and keywords for each book and chapter.
Please, subscribe or login to access full text content.
If you think you should have access to this title, please contact your librarian.
To troubleshoot, please check our FAQs , and if you can't find the answer there, please contact us.
