 This particular theory of concept learning is relatively new and more research is being conducted to test it.Taking a mathematical approach to concept learning, Bayesian theories propose that the human mind produces "probabilities" for a certain concept definition, based on examples it has seen of that concept.The Bayesian concept of Prior Probability stops learners' hypotheses being overly specific, while the likelihood of a hypothesis ensures the definition is not too broad.