From Fluid Intelligence to Crystallized Expertise: An Integrative Bayesian Approach

Grant number: DP120103888 | Funding period: 2012 - 2015

Completed

Abstract

Intelligence is correlated with learning but uncorrelated with most aspects of expertise. Why is this so? Why does the role of intelligence diminish as one becomes more expert at a task? This project examines a broad range of cognitive tasks to provide a concise mathematical description of how intelligence relates to expertise.

Related publications (8)

Scholarly works icon

Function estimation: Quantifying individual differences of hand-drawn functions

DR Little, RM Shiffrin, SM Laham

2025-01-01

Graphical perception is an important part of the scientific endeavour, and the interpretation of graphical information is increasi..

Scholarly works icon

Assessing the speed-accuracy trade-off effect on the capacity of information processing

C Donkin, DR Little, JW Houpt

2014-01-01

The ability to trade accuracy for speed is fundamental to human decision making. The speed-accuracy trade-off (SAT) effect has rec..

Scholarly works icon

Working memory capacity and fluid abilities: The more difficult the item, the more more is better

DR Little, S Lewandowsky, S Craig

2014-01-01

The relationship between fluid intelligence and working memory is of fundamental importance to understanding how capacity-limited ..

Scholarly works icon

Fluency Profiling System: An automated system for analyzing the temporal properties of speech

DR Little, R Oehmen, J Dunn, K Hird, K Kirsner

2013-03-04

The temporal characteristics of speech can be captured by examining the distributions of the durations of measurable speech compon..

Scholarly works icon

Working memory capacity and fluid abilities: The more difficult the item, the more more is better

DR Little, S Lewandowsky, S Craig

2013-01-01

Recent evidence has suggested that the relationship between a test of fluid intelligence, Raven's Progressive Matrices, and workin..

Scholarly works icon

A Bayesian Model of Rule Induction in Raven’s Progressive Matrices

DR Little, S Lewandowsky, TL Griffiths

2012-01-01

Raven’s Progressive Matrices (Raven, Raven, & Court, 1998) is one of the most prevalent assays of fluid intelligence; however, mos..

Scholarly works icon

Multiple-Cue Probability Learning

Daniel R Little, Stephan Lewandowsky

2012-01-01

Scholarly works icon

Bayesian computation and mechanism: Theoretical pluralism drives scientific emergence

DK Sewell, DR Little, S Lewandowsky

2011-08-01

The breadth-first search adopted by Bayesian researchers to map out the conceptual space and identify what the framework can do is..

University of Melbourne Researchers