Discovery Projects - Grant ID: DP190101224

Funding Activity

Website
http://dataportal.arc.gov.au/NCGP/Web/Grant/Grant/DP190101224

Funding Status
Closed

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Funded Activity Summary

The dog that didn't bark: a Bayesian account of reasoning from censored data. This project aims to develop and test a new computational theory of inductive reasoning. Inductive reasoning involves extending knowledge from known to novel instances, and is a central component of intelligent behaviour. This project will address the cognitive mechanisms that allow people to draw inferences based on both observed and censored evidence. The project intends to test the model through an extensive program of experimental investigation and computational modelling. The anticipated benefits include an enhanced understanding of human inference, especially in domains such as the evaluation of forensic or financial evidence, where data censoring is common.

Funded Activity Details

Start Date: 01-07-2019

End Date: 30-06-2022

Funding Scheme: Discovery Projects

Funding Amount: $390,000.00

Funder: Australian Research Council

Research Topics

ANZSRC Field of Research (FoR)

Cognitive Science | Psychological Methodology, Design and Analysis | Knowledge Representation and Machine Learning | Decision Making

ANZSRC Socio-Economic Objective (SEO)

Expanding Knowledge in Psychology and Cognitive Sciences |

Other Keywords

Cognitive Science | Decision Making | Expanding Knowledge in Psychology and Cognitive Sciences | Knowledge Representation and Machine Learning | Psychological Methodology, Design and Analysis

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