Learning Epistemology

LearningEpistemology.com teaches computational epistemology intuitively using narrated animation and interactive explanations.

This site is part of Seth Casana's Masters thesis for the Department of Philosophy at Carnegie Mellon University. The source of the lesson material comes from the research of Kevin Kelly, a philosophy professor at CMU. A more traditional treatment is available in the manuscript entitled Learning, Simplicity, Truth, and Misinformation.

The following lesson was used in an experimental study to measure this presentation's teaching effectiveness. The results of that study, as well as improvements to the theory itself, have made some of the information out of date. For those who are interested, here is the (mostly complete) revised story board.

Current research can be found at the Ockham Efficiency Theorem project page. For more information about related events and research opportunities, contact the Center for Formal Epistemology.

Questions and comments are always welcome.

Justification of Ockham's Razor from Truth-Finding Efficiency

  1. Introduction: How can a fixed bias discover arbitrary truths?
  2. Analogy: How fixed advice can help you find things
  3. Example: Ockham's Method and Marble Counting
  4. Example: How Ockham is the most efficient method
  5. Theory: Truth-finding games

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