Website
http://dataportal.arc.gov.au/NCGP/API/grants/DP150103280
Funding Status
Closed
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Funded Activity Summary
Learning from others: Inductive reasoning based on human-generated data. Most of the data we see every day, from politics to gossip, comes from other people. Making inferences about such data is difficult because the people who provided it may have biases or limitations in their knowledge that we do not know about and must figure out. This project uses a series of experiments tied to normative computational models of social reasoning to explore how people solve this problem. This work has the potential to make a major impact in understanding how information is understood and shared, especially when it is about topics that people lack firsthand knowledge about, like climate change. The computational models also have applications to the development of expert systems upon which our information economy relies.Funded Activity Details
Start Date: 2015
End Date: 12-2019
Funding Scheme: Discovery Projects
Funding Amount: $301,300.00
Funder: Australian Research Council
Research Topics
ANZSRC Field of Research (FoR)
Cognitive Science | Linguistic Processes (incl. Speech Production and Comprehension) | Knowledge Representation and Machine Learning |
ANZSRC Socio-Economic Objective (SEO)
Expanding Knowledge in Psychology and Cognitive Sciences | Expanding Knowledge in Language, Communication and Culture
