BattagliaP. W.HamrickJ. B.TenenbaumJ. B. (2013). Simulation as an engine of physical scene understanding. Proceedings of the National Academy of Sciences, USA, 110, 18327–18332.
2.
FrankM.GoodmanN.LaiP.TenenbaumJ. (2009). Informative communication in word production and word learning. In TaatgenN.van RijnH. (Eds.), Proceedings of the 31st Annual Conference of the Cognitive Science Society (pp. 1228–1233). Austin, TX: Cognitive Science Society.
3.
FrankM. C. (2013). Throwing out the Bayesian baby with the optimal bathwater: Response to Endress (2013). Cognition, 128, 417–423.
4.
FrankM. C.GoodmanN. D. (2012). Predicting pragmatic reasoning in language games. Science, 336, 998.
5.
GerstenbergT.GoodmanN.LagnadoD.TenenbaumJ. (2012). Noisy Newtons: Unifying process and dependency accounts of causal attribution. In MiyakeN.PeeblesD.CooperR. P. (Eds.), Proceedings of the 34th Annual Conference of the Cognitive Science Society (pp. 378–383). Austin, TX: Cognitive Science Society.
6.
GerstenbergT.GoodmanN.LagnadoD.TenenbaumJ. (2014). From counterfactual simulation to causal judgment. In BelloP.GuariniM.McShaneM.ScassellatiB. (Eds.), Proceedings of the 36th Annual Meeting of the Cognitive Science Society (pp. 523–528). Austin, TX: Cognitive Science Society.
7.
GoodmanN. D.TenenbaumJ. B.FeldmanJ.GriffithsT. L. (2008). A rational analysis of rule-based concept learning. Cognitive Science, 32, 108–154.
8.
GriffithsT. L.ChaterN.NorrisD.PougetA. (2012). How the Bayesians got their beliefs (and what those beliefs actually are): Comment on Bowers and Davis (2012). Psychological Bulletin, 138, 415–422.
9.
GriffithsT. L.TenenbaumJ. B. (2006). Optimal predictions in everyday cognition. Psychological Science, 17, 767–773.
10.
GriffithsT. L.TenenbaumJ. B. (2011). Predicting the future as Bayesian inference: People combine prior knowledge with observations when estimating duration and extent. Journal of Experimental Psychology: General, 140, 725–743.
11.
KempC.TenenbaumJ. B. (2009). Structured statistical models of inductive reasoning. Psychological Review, 116, 20–58.
12.
LewandowskyS.GriffithsT. L.KalishM. L. (2009). The wisdom of individuals: Exploring people’s knowledge about everyday events using iterated learning. Cognitive Science, 33, 969–998.
13.
LuceR. D. (1959). Individual choice behavior: A theoretical analysis. New York, NY: Wiley.
14.
LuceR. D. (1977). The choice axiom after twenty years. Journal of Mathematical Psychology, 15, 215–233.
15.
MarcusG. F.DavisE. (2013). How robust are probabilistic models of higher-level cognition?Psychological Science, 24, 2351–2360.
16.
MarrD. (1982). Vision. Cambridge, MA: MIT Press.
17.
SanbornA. N.MansinghkaV. K.GriffithsT. L. (2013). Reconciling intuitive physics and Newtonian mechanics for colliding objects. Psychological Review, 120, 411–437.
18.
SmithK.BattagliaP.VulE. (2013). Consistent physics underlying ballistic motion prediction. In KnauffM.PauenM.SebanzN.WachsmuthI. (Eds.), Proceedings of the 35th Annual Conference of the Cognitive Science Society (pp. 3426–3431). Austin, TX: Cognitive Science Society.
19.
StillerA.GoodmanN. D.FrankM. C. (2011). Ad-hoc scalar implicature in adults and children. In CarlsonL.HoelscherC.ShipleyT. F. (Eds.), Proceedings of the 33rd Annual Conference of the Cognitive Science Society (pp. 2134–2139). Austin, TX: Cognitive Science Society.
20.
StillerA. J.GoodmanN. D.FrankM. C. (2014). Ad-hoc implicature in preschool children. Language Learning and Development. Advance online publication. doi:10.1080/15475441.2014.927328
21.
TéglásE.VulE.GirottoV.GonzalezM.TenenbaumJ. B.BonattiL. L. (2011). Pure reasoning in 12-month-old infants as probabilistic inference. Science, 332, 1054–1059.
22.
TenenbaumJ. B.KempC.GriffithsT. L.GoodmanN. D. (2011). How to grow a mind: Statistics, structure, and abstraction. Science, 331, 1279–1285.
23.
VogelA.EmilssonA. G.FrankM. C.JurafskyD.PottsC. (2014). Learning to reason pragmatically with cognitive limitations. In BelloP.GuariniM.McShaneM.ScassellatiB. (Eds.), Proceedings of the 36th Annual Meeting of the Cognitive Science Society (pp. 3055–3060). Austin, TX: Cognitive Science Society.