Behavioral and Brain Sciences

Volume 34 : Issue 4

Table of Contents

• Bayesian Fundamentalism or Enlightenment? On the explanatory status and theoretical contributions of Bayesian models of cognition 
  Matt Jones and Bradley C. Love
  Page 169
• Evolutionary psychology and Bayesian modeling 
  Laith Al-Shawaf and David Buss
  Page 188
• The myth of computational level theory and the vacuity of rational analysis 
  Barton L. Anderson
  Page 189
• Maybe this old dinosaur isn¿t extinct: What does Bayesian modeling add to associationism? 
  Irina Baetu, Itxaso Barberia, Robin A. Murphy and A. G. Baker
  Page 190
• Integrating Bayesian analysis and mechanistic theories in grounded cognition 
  Lawrence W. Barsalou
  Page 191
• Mechanistic curiosity will not kill the Bayesian cat 
  Denny Borsboom, Eric-Jan Wagenmakers and Jan-Willem Romeijn
  Page 192
• More varieties of Bayesian theories, but no enlightenment 
  Jeffrey S. Bowers and Colin J. Davis
  Page 193
• The imaginary fundamentalists: The unshocking truth about Bayesian cognitive science 
  Nick Chater, Noah Goodman, Thomas L. Griffiths, Charles Kemp, Mike Oaksford and Joshua B. Tenenbaum
  Page 194
• Survival in a world of probable objects: A fundamental reason for Bayesian enlightenment 
  Shimon Edelman and Reza Shahbazi
  Page 197
• Don't throw out the Bayes with the bathwater 
  Philip M. Fernbach and Steven A. Sloman
  Page 198
• Osiander's psychology 
  Clark Glymour
  Page 199
• Probabilistic models as theories of children's minds 
  Alison Gopnik
  Page 200
• The uncertain status of Bayesian accounts of reasoning 
  Brett K. Hayes and Ben R. Newell
  Page 201
• Relating Bayes to cognitive mechanisms 
  Mitchell Herschbach and William Bechtel
  Page 202
• What the Bayesian framework has contributed to understanding cognition: Causal learning as a case study 
  Keith J. Holyoak and Hongjing Lu
  Page 203
• Come down from the clouds: Grounding Bayesian insights in developmental and behavioral processes 
  Gavin W. Jenkins, Larissa K. Samuelson and John P. Spencer
  Page 204
• In praise of Ecumenical Bayes 
  Michael D. Lee
  Page 206
• Cognitive systems optimize energy rather than information 
  Arthur B. Markman and A. Ross Otto
  Page 207
• The illusion of mechanism: Mechanistic fundamentalism or enlightenment? 
  Dennis Norris
  Page 208
• Reverse engineering the structure of cognitive mechanisms 
  David Pietraszewski and Annie E. Wertz
  Page 209
• Taking the rationality out of probabilistic models 
  Bob Rehder
  Page 210
• Distinguishing literal from metaphorical applications of Bayesian approaches 
  Timothy T. Rogers and Mark S. Seidenberg
  Page 211
• Bayesian computation and mechanism: Theoretical pluralism drives scientific emergence 
  David K. Sewell, Daniel R. Little and Stephan Lewandowsky
  Page 212
• Is everyone Bayes? On the testable implications of Bayesian Fundamentalism 
  Maarten Speekenbrink and David R. Shanks
  Page 213
• Post hoc rationalism in science 
  Eric Luis Uhlmann
  Page 214
• Pinning down the theoretical commitments of Bayesian cognitive models 
  Matt Jones and Bradley C. Love
  Page 215
• BBS volume 34 issue 4 Cover and Back matter 
  
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• BBS volume 34 issue 4 Cover and Front matter 
  
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