about
I am an assistant professor at the University of Rochester, where I head colala, the Computation and Language Lab.
My research uses formal computational methods and behavioral experiments to study how people learn and process language. You can read about some work here and here .
I am an NCSE Steve who really likes free software, wikipedia, and accordions.
CV
A current CV is available here.
My thesis studied learning in language of thought models, in which learners compose simple functions in order to express complex concepts like those needed for natural language. [read it here]. A precis is available here.
data
 All data from papers published and in progress is available upon request.
papers


S.T. Piantadosi, K. Mahowald, C. Kidd, R. Futrell, and E. Gibson.
Lexical prescriptivism reduces communicative efficiency.
under review.
[ bib 
email ]


K. Mahowald, I. Dautriche, E. Gibson, A. Christophe, and S.T. Piantadosi.
Lexical clustering in efficient language design.
under review.
[ bib 
email ]


J. Cantlon, S.T. Piantadosi, S. Ferrigno, K.D. Hughes, and A. Barnard.
The origins of counting algorithms.
under review.
[ bib 
email ]


Eric M. Miller, S.T. Piantadosi, Noah Goodman, and Samuel M. McClure.
Corticostriatal interactions during modelbased reward learning.
under review.
[ bib 
email ]


S.T. Piantadosi and R. Aslin.
Rational rule inference in 34 yearolds.
in prep.
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email ]


Julian JaraEttinger, Steven T. Piantadosi, Elizabeth Spelke, Roger Levy, and
Edward Gibson.
Mastery of the logic of cardinality is not the result of mastery of
counting: Evidence from the Tsimane' of Bolivia.
under review.
[ bib 
email ]


Julian JaraEttinger, E. Gibson, C. Kidd, and S.T. Piantadosi.
Native Amazonian Children Forego Egalitarianism When They Learn to
Count.
under review.
[ bib 
email ]


S.T. Piantadosi.
Efficient estimation of Weber's W.
under review.
[ bib 
.pdf ]


S.T. Piantadosi, J.B. Tenenbaum, and N.D. Goodman.
The logical primitives of thought: Empirical foundations for
compositional cognitive models.
under review.
[ bib 
.pdf ]


S.T. Piantadosi and R. Aslin.
Compositional reasoning in early childhood.
under revision.
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.pdf ]


S.T. Piantadosi and B. Hayden.
Utilityfree models of binomial choice can replicate predictions of
utility models in many conditions.
under review.
[ bib 
email ]


S.T. Piantadosi, Holly Palmeri, and R. Aslin.
Limits on composition of conceptual operations in 9montholds.
in prep.
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.pdf ]


S.T. Piantadosi.
Zipf's law in natural language: a critical review and future
directions.
Psychonomic Bulletin and Review, in press.
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.pdf ]


S.T. Piantadosi.
Approximate number from first principles.
under revision.
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.pdf ]


S.T. Piantadosi, L. Stearns, D. Everett, and E. Gibson.
A corpus analysis of pirahã grammar: An investigation of
recursion.
Talk presented at the LSA (by E. Gibson), 2012.
[ bib 
.pdf ]


C. Rieth, S.T. Piantadosi, K. Smith, and E. Vul.
Put your money where your mouth is: Incentivizing the truth by making
nonreplicability costly.
European Journal of Personality, 2013.
[ bib 
.pdf ]


S.T. Piantadosi, J. JaraEttinger, and E. Gibson.
Children's development of number in an indigenous farmingforaging
group.
Developmental Science, in press.
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.pdf ]


S.T. Piantadosi, N. Goodman, and J.B. Tenenbaum.
Modeling the acquisition of quantifier semantics: a case study in
function word learnability.
under revision.
[ bib 
.pdf ]


S.T. Piantadosi, C. Kidd, and R.N. Aslin.
Rich analysis and rational models: Inferring individual behavior from
infant looking data.
Developmental Science, pages 116, 2014.
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.pdf ]


C. Kidd, S.T. Piantadosi, and R.N. Aslin.
The Goldilocks effect in infant auditory cognition.
Child Development, in press.
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email ]


S. T. Piantadosi, H. Tily, and E. Gibson.
Information content versus word length in natural language: A reply
to FerreriCancho and Moscoso del Prado Martin [arXiv:1209.1751].
ArXiv eprints, July 2013.
[ bib 
arXiv ]


S.T. Piantadosi and E. Gibson.
Quantitative standards for absolute linguistic universals.
Cognitive Science, in press.
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.pdf ]


E. Gibson, P. Jacobson, P. Graff, K. Mahowald, E. Fedorenko, and S.T.
Piantadosi.
A pragmatic account of complexity in definite
antecedentcontaineddeletion relative clauses.
Journal of Semantics, in press.
[ bib 
email ]


E. Gibson, K. Mahowald, S.T. Piantadosi, and R. Levy.
Erroneous analyses drive the reported reading time effects in Hackl,
KosterHale & Varvoutis (2012).
under review.
[ bib 
email ]


E. Gibson, L. Bergen, and S.T. Piantadosi.
The rational integration of noise and prior semantic expectation:
Evidence for a noisychannel model of sentence interpretation.
Proceedings of the National Academy of Sciences, 11:80518056,
2013.
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.pdf ]


E. Gibson, S.T. Piantadosi, K. Brink, L. Bergen, E. Lim, and R. Saxe.
A noisychannel account of crosslinguistic word order variation.
Psychological Science, 24:10791088, 2012.
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.pdf ]


S.T. Piantadosi, J.B. Tenenbaum, and N.D Goodman.
Bootstrapping in a language of thought: a formal model of numerical
concept learning.
Cognition, 123:199217, 2012.
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.pdf ]


E. Fedorenko, S.T. Piantadosi, and E. Gibson.
The interaction of syntactic and lexical information sources in
language processing: The case of the nounverb ambiguity.
Journal of Cognitive Science, 2012.
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.pdf ]


E. Gibson, S.T. Piantadosi, and E. Fedorenko.
Quantitative methods in syntax / semantics research: A response to
Sprouse & Almeida.
Language and Cognitive Processes, 2012.
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.pdf ]


C. Kidd, S.T. Piantadosi, and R.N. Aslin.
The Goldilocks effect: Human infants allocate attention to visual
sequences that are neither too simple nor too complex.
PLoS ONE, 2012.
[ bib 
http ]


K. Mahowald, E. Fedorenko, S.T. Piantadosi, and E. Gibson.
Info/information theory: speakers actively choose shorter words in
predictable contexts.
Cognition, 126:313318, 2012.
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.pdf ]


E. Fedorenko, S. Piantadosi, and E. Gibson.
Processing relative clauses in supportive contexts.
Cognitive Science, 36:127, 2012.
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.pdf ]


S.T. Piantadosi.
Learning and the language of thought.
PhD thesis, MIT, 2011.
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.pdf ]


S.T. Piantadosi, H. Tily, and E. Gibson.
The communicative function of ambiguity in language.
Cognition, 122:280291, 2011.
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.pdf ]


S.T. Piantadosi, H. Tily, and E. Gibson.
Word lengths are optimized for efficient communication.
Proceedings of the National Academy of Sciences, 108(9):3526,
2011.
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.pdf ]


S.T. Piantadosi, H. Tily, and E. Gibson.
Reply to Reilly and Kean: Clarifications on word length and
information content.
Proceedings of the National Academy of Sciences, 108(20):E109,
2011.
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.pdf ]


E. Gibson, S.T. Piantadosi, and K. Fedorenko.
Using Mechanical Turk to Obtain and Analyze English Acceptability
Judgments.
Language and Linguistics Compass, 5(8):509524, 2011.
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.pdf ]


S.T. Piantadosi and J.P. Crutchfield.
How the dimension of space affects the products of prebiotic
evolution: The spatial population dynamics of structural complexity and the
emergence of membranes.
Santa Fe Institute Working Paper arXiv:1010.5019, 2010.
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.pdf ]


S.T. Piantadosi.
Symbolic dynamics on free groups.
Discrete and Continuous Dynamical Systems, 20(3):725738,
2008.
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.pdf ]


S.T. Piantadosi, J.B. Tenenbaum, and N.D. Goodman.
Beyond boolean logic: exploring representation languages for learning
complex concepts.
In Proceedings of the 32nd Annual Conference of the Cognitive
Science Society, 2010.
[ bib 
.pdf ]


C. Kidd, S.T. Piantadosi, and R.N. Aslin.
The Goldilocks effect: Infants' preference for visual stimuli that
are neither too predictable nor too surprising.
In Proceedings of the 32nd Annual Conference of the Cognitive
Science Society, 2010.
[ bib 
.pdf ]


H. Tily and ST Piantadosi.
Refer efficiently: Use less informative expressions for more
predictable meanings.
In Proceedings of the workshop on the production of referring
expressions: Bridging the gap between computational and empirical approaches
to reference, 2009.
[ bib 
.pdf ]


S.T. Piantadosi, H.J. Tily, and E. Gibson.
The communicative lexicon hypothesis.
In Proceedings of the 31st Annual Conference of the Cognitive
Science Society, pages 25822587, 2009.
[ bib 
.pdf ]


S.T. Piantadosi, N.D. Goodman, B.A. Ellis, and J.B. Tenenbaum.
A Bayesian model of the acquisition of compositional semantics.
In Proceedings of the 30th Annual Conference of the Cognitive
Science Society, 2008.
[ bib 
.pdf ]


S.T. Piantadosi.
Symbolic dynamics on free groups.
Senior Honors Thesis, 2006.
[ bib 
.pdf ]
software
 LOTlib is a library for modeling learning complex concepts as compositions of primitives in a language of thought. Please note that this is still under heavy development. GPL3
 kelpy (kid experimental library in python) is a library for running simple psychology experiments in python. It is intended primarily for making simple animated displays with simple responses for baby and child experiments. It is built on top of pygame and is under heavy development at present. Email me for updates / questions. GPL3
 ngrampy is a python library for manipulating large google ngram data sets, and computing measures such as average surprisal in context from Piantadosi, Tily, & Gibson (2011). Code is included to replicate that finding (email me if you don't have the corpora). GPL3
 GPUropolis Bayesian inference via MetropolisHastings on symbolic expressions, currently only for symbolic regression but under heavy development. Code is highly parallelized using CUDA to run on graphics (GPGPU) hardware. This enables use of tens of thousands of chains in parallel. Includes several classic scientific data sets to test with. GPL3
 WeberMCMC Bayesian data analysis for estimation of Weber ratios. In practice, incorporating the reliability of an estimate of W into statistics allows for more power and correctness. GPL3
 Turkolizer software for analyzing linguistic data gathered on mechanical turk (paper here). This software was primarily developed by Ted Gibson and Kris Fedorenko.
