Patricia Cheng

Patricia Wenjie Cheng (born 1952) is a Chinese American psychologist.[1] She is a leading researcher in cognitive psychology who works on human reasoning. She is best known for her psychological work on human understanding of causality. Her "power theory of the probabilistic contrast model," or power PC theory (1997)[2] posits that people filter observations of events through a basic belief that causes have the power to generate (or prevent) their effects, thereby inferring specific cause-effect relations.

Biography

Cheng was born in Hong Kong in 1952. She received her B.A. from Barnard College, and her PhD in Psychology from the University of Michigan in 1980.[1] She then taught at the Chinese University of Hong Kong.[1] After post-doctoral training in the Department of Computer Science at Carnegie-Mellon University, she joined the faculty of the University of California, Los Angeles in 1986, where she is now a Professor of Psychology.[1] Cheng received a fellowship from the John Simon Guggenheim Memorial Foundation in 2000.[3] She is also a Fellow of the Association for Psychological Science.[4]

Selected works
  • Cheng, Patricia W.; Holyoak, Keith J. (1985). "Pragmatic reasoning schemas". Cognitive Psychology. 17 (4): 391–416. doi:10.1016/0010-0285(85)90014-3. hdl:2027.42/25556. PMID 4064622.
  • Cheng, Patricia W.; Holyoak, Keith J.; Nisbett, Richard E.; Oliver, Lindsay M. (1986). "Pragmatic versus syntactic approaches to training deductive reasoning". Cognitive Psychology. 18 (3): 293–328. doi:10.1016/0010-0285(86)90002-2. hdl:2027.42/26121. PMID 3742999.
  • Nisbett, R.; Fong, G.; Lehman, D.; Cheng, P. (1987). "Teaching reasoning". Science. 238 (4827): 625–631. Bibcode:1987Sci...238..625N. doi:10.1126/science.3672116. PMID 3672116.
  • Cheng, Patricia W.; Holyoak, Keith J. (1989). "On the natural selection of reasoning theories". Cognition. 33 (3): 285–313. doi:10.1016/0010-0277(89)90031-0. PMID 2605884.
  • Cheng, Patricia W.; Novick, Laura R. (1991). "Causes versus enabling conditions". Cognition. 40 (1–2): 83–120. doi:10.1016/0010-0277(91)90047-8.
  • Cheng, Patricia W. (1997). "From covariation to causation: A causal power theory". Psychological Review. 104 (2): 367–405. doi:10.1037/0033-295X.104.2.367.
  • Lu, Hongjing; Yuille, Alan L.; Liljeholm, Mimi; Cheng, Patricia W.; Holyoak, Keith J. (2008). "Bayesian generic priors for causal learning". Psychological Review. 115 (4): 955–984. doi:10.1037/a0013256.
  • Holyoak, Keith J.; Cheng, Patricia W. (2011). "Causal Learning and Inference as a Rational Process: The New Synthesis". Annual Review of Psychology. 62: 135–163. doi:10.1146/annurev.psych.121208.131634. PMID 21126179.
gollark: I assume there are some which can deal nicely with nucleotides going missing instead of just bit flips.
gollark: So instead I'd use an actual error correcting code which is principled™.
gollark: This would break that.
gollark: Obviously there can sometimes be errors which don't affect functionality, since DNA has redundancy.
gollark: They'd initially checksum their genes against the cell they replicated from, and after that just make sure the MACs check out.

See also

References
  1. "September, 2013 Vita | Patricia Wenjie Cheng". UCLA Reasoning Lab. Retrieved 2019-12-24.
  2. Cheng, P.W. (1997). "From Covariation to Causation: A Causal Power Theory." Psychological Review 104: 367-405.
  3. See list of Guggenheim Fellows on the Guggenheim Foundation website. Archived 2008-10-24 at the Wayback Machine
  4. "APS Fellows". Association for Psychological Science. Retrieved 2018-05-19.
This article is issued from Wikipedia. The text is licensed under Creative Commons - Attribution - Sharealike. Additional terms may apply for the media files.