Relevant and robust: a response to Marcus and Davis (2013).

  title={Relevant and robust: a response to Marcus and Davis (2013).},
  author={Noah D. Goodman and Michael C. Frank and Thomas L. Griffiths and Joshua B. Tenenbaum and Peter W. Battaglia and Jessica B. Hamrick},
  journal={Psychological science},
  volume={26 4},
Commentary Computational models in psychology are precise, fully explicit scientific hypotheses. Probabilistic models in particular formalize hypotheses about the beliefs of agents— their knowledge and assumptions about the world—using the structured collection of probabilities referred to as priors and likelihoods. The probability calculus then describes inferences that can be drawn by combining these beliefs with new evidence, without the need to commit to a process-level explanation of how… CONTINUE READING