Steven Piantadosi

Research Bio

Steven Piantadosi is an assistant professor at the UC Berkeley, where he is head of the computation and language lab (colala). His research uses formal computational methods and behavioral experiments to study how people learn language and create conceptual systems. You can read about some of his work on information and languageambiguity, and the evolution of human-like cognition

Research Expertise and Interest

language acquisition, language processing

In the News

Featured in the Media

Please note: The views and opinions expressed in these articles are those of the authors and do not necessarily reflect the official policy or positions of UC Berkeley.
July 1, 2020
Rob Waugh

What do indigenous people from the Amazon rainforest, American adults, pre-school children and macaque monkeys have in common? Not a huge amount, you'd imagine, but it turns out that the way humans and monkeys deal with ideas is very, very similar, based on tests using symbols similar to language. "For the first time, we have strong empirical evidence about patterns of thinking that come naturally to probably all humans and, to a lesser extent, non-human primates," said study co-author Steven Piantadosi, a UC Berkeley assistant professor of psychology. For more on this, see our press release at Berkeley News. Stories on this topic have appeared in several sources, including Firstpost, Science News, Cosmos, The Times Hub, Futurity, and Patch.

March 28, 2019
Brooks Hays

To fully acquire a language, children absorb roughly 12.5 million bits of information by the time they're 18, assistant psychology professor Steven Piantadosi and his former graduate student Frank Mollica at the University of Rochester have calculated. The study challenges theories that language acquisition occurs effortlessly, due to hardwiring, as well as notions that robots could easily master it. "A lot of research on language learning focuses on syntax, like word order," Professor Piantadosi says. "But our study shows that syntax represents just a tiny piece of language learning, and that the main difficulty has got to be in learning what so many words mean. ... When you think about a child having to remember millions of zeroes and ones -- in language -- that says they must have really pretty impressive learning mechanisms." For more on this, see our press release at Berkeley News. Other stories on this topic have appeared in more than a dozen sources, including New Scientist, Daily Mail (UK), Medicine News Line, Business Standard (India), Bioengineer.org, Tech Site, and Newswise.

Teaching

Courses taught during the three most recent terms
2026 Spring
  • Supervised Independent Study  [COGSCI 199]  

  • Neuroscience Graduate Research  [NEU 292]  

  • Neuroscience Research Review  [NEU 295]  

  • Field Study in Psychology  [PSYCH 197]  

  • Supervised Independent Study and Research  [PSYCH 199]  

  • Data Analysis  [PSYCH 205]  

  • Directed Study  [PSYCH 298]  

  • Research  [PSYCH 299]  

  • Supervised Independent Study and Research  [PSYCH 99]  

  • Special Study for Honors Candidates  [PSYCH H195B]  

2025 Fall
  • Supervised Independent Study  [COGSCI 199]  

  • Neuroscience Graduate Research  [NEU 292]  

  • Neuroscience Research Review  [NEU 295]  

  • Field Study in Psychology  [PSYCH 197]  

  • Supervised Independent Study and Research  [PSYCH 199]  

  • Seminars: Cognition  [PSYCH 290Q]  

  • Directed Study  [PSYCH 298]  

  • Directed Study  [PSYCH 298]  

  • Research  [PSYCH 299]  

  • Supervised Independent Study and Research  [PSYCH 99]  

  • Special Study for Honors Candidates  [PSYCH H195A]  

2025 Spring
  • Supervised Independent Study  [COGSCI 199]  

  • Computational Models of Cognition  [COGSCI C131]  

  • Neuroscience Graduate Research  [NEU 292]  

  • Neuroscience Research Review  [NEU 295]  

  • Field Study in Psychology  [PSYCH 197]  

  • Supervised Independent Study and Research  [PSYCH 199]  

  • Directed Study  [PSYCH 298]  

  • Research  [PSYCH 299]  

  • Supervised Independent Study and Research  [PSYCH 99]  

  • Computational Models of Cognition  [PSYCH C123]  

  • Special Study for Honors Candidates  [PSYCH H195B]  

  • Supervised Research: Social Sciences  [UGIS 192B]