Logic and language: Foundations of cognitive growth. This project investigates children's competence in using language, from a biological perspective. The past twenty years has witnessed innovative developments in behavioral measures (e.g., eye-movement recording) and computational models of language development. I propose to integrate this research with the study of the neural basis of cognitive processes, using a new methodology for functional brain imaging, magnetoencephalography (MEG), The p ....Logic and language: Foundations of cognitive growth. This project investigates children's competence in using language, from a biological perspective. The past twenty years has witnessed innovative developments in behavioral measures (e.g., eye-movement recording) and computational models of language development. I propose to integrate this research with the study of the neural basis of cognitive processes, using a new methodology for functional brain imaging, magnetoencephalography (MEG), The project combines behavioral, computational, and biological methods to better understand (a) the nature of linguistic knowledge, (b) how logical expressions are acquired, and (c) how knowledge of logic and language are put to use by children in production and comprehension.Read moreRead less
Dynamics of word recognition: new insight from the reach-to-touch paradigm. This project will introduce a new behavioural reach-to-touch paradigm for studying basic cognitive processes such as word recognition. The advantage of this paradigm is that it is able to measure cognitive processes moment-by-moment as they unfold over time. This will provide new insights into the temporal dynamics of basic cognitive processing.
Using generalisation to better treat poor spelling. Spelling is an important skill when expressing one's thoughts in writing and an acute challenge for at least ten per cent of Australian students, who can be years behind in their knowledge. This project will help to improve spelling training by establishing how to facilitate generalisation of spelling knowledge from a learned word to new words.
Risky Futures: Toward a Computational Process Model of Risky Inter-Temporal Choice. A lot is known about people’s preferences. People like their rewards now. Most would prefer $10 today than $20 in one month. Risk is also unattractive; a certain $10 is more attractive than a 50 per cent chance of receiving $25. Surprisingly, much less is known about the interaction between delay and risk. That is, relatively little is known about whether people prefer $10 now, or a 50 per cent chance of $50 in ....Risky Futures: Toward a Computational Process Model of Risky Inter-Temporal Choice. A lot is known about people’s preferences. People like their rewards now. Most would prefer $10 today than $20 in one month. Risk is also unattractive; a certain $10 is more attractive than a 50 per cent chance of receiving $25. Surprisingly, much less is known about the interaction between delay and risk. That is, relatively little is known about whether people prefer $10 now, or a 50 per cent chance of $50 in one month. This project will use a combination of experiments and cognitive modelling to examine all three types of choice. The outcome will be a novel computational model that will elucidate the complex interaction between delay and risk, thereby answering an enduring question in the literature: are risk and delay psychologically equivalent?Read moreRead less
How do people make uncertain predictions? Exemplar-based and category-based approaches to inductive inference. This project is an innovative experimental and field study of how people reason under uncertainty. The project will broaden our understanding of human reasoning and enhance the reputation of Australian cognitive science.
Cracking the orthographic code: investigating early perceptual processes in reading. Current understanding of how human readers decode a string of letters into known words is inadequate. This project advances understanding of this early reading process, by combining computational modelling, behavioural and brain imaging approaches.
Learning and choosing in a complex world. How do people make choices in a complex world? Making good choices requires expertise, but people must often forego rewards in order to acquire this knowledge. This is the essence of an "explore-exploit dilemma": to maximise rewards across a long time frame, people must take the time to explore and learn now. Empirically, this project aims to unify much of the existing psychological literature and extend it to cover richer, more complex problems. Theoret ....Learning and choosing in a complex world. How do people make choices in a complex world? Making good choices requires expertise, but people must often forego rewards in order to acquire this knowledge. This is the essence of an "explore-exploit dilemma": to maximise rewards across a long time frame, people must take the time to explore and learn now. Empirically, this project aims to unify much of the existing psychological literature and extend it to cover richer, more complex problems. Theoretically, the project aims to use tools from machine learning to compare human decision making to optimal planning models.Read moreRead less
A new approach to understanding decision making. Mathematical theories of decision-making have helped us understand many aspects of psychology (such as ageing, gambling, psychological disorders and consumer decisions). This project will extend these theories to a new level of finer-grained analysis, opening up new possibilities for understanding cognition and behaviour.
Discovery Early Career Researcher Award - Grant ID: DE150101053
Funder
Australian Research Council
Funding Amount
$364,536.00
Summary
Cracking the code of successful language learning. Mastery of a second language generates economic advantages, especially in English-speaking nations with large immigrant populations, such as Australia. It is not clear why some second-language learners flourish while others struggle in the same educational setting. Successful learners must possess attributes that when combined with the features of the learning situation result in positive learning outcomes, whereas unsuccessful learners are like ....Cracking the code of successful language learning. Mastery of a second language generates economic advantages, especially in English-speaking nations with large immigrant populations, such as Australia. It is not clear why some second-language learners flourish while others struggle in the same educational setting. Successful learners must possess attributes that when combined with the features of the learning situation result in positive learning outcomes, whereas unsuccessful learners are likely mismatched to their training method. In a series of artificial language learning experiments, this project aims to identify the combination of factors that matter most in successful language learning. Ultimately it may be possible to tailor training proactively to maximise learning outcomes.Read moreRead less
Developing a Unified Theory of Episodic Memory. This project aims to develop a model of episodic memory and to apply the model to both adult and child development data. Unlike current approaches, the model is expected to address multiple memory tasks including item recognition, associative recognition, source recognition and cued recall, and also aims to address reaction time data, allowing different sources of interference causing forgetting in adults to be identified. By addressing both encodi ....Developing a Unified Theory of Episodic Memory. This project aims to develop a model of episodic memory and to apply the model to both adult and child development data. Unlike current approaches, the model is expected to address multiple memory tasks including item recognition, associative recognition, source recognition and cued recall, and also aims to address reaction time data, allowing different sources of interference causing forgetting in adults to be identified. By addressing both encoding and retrieval processes, the model can assess how changes in different sources of interference modulate performance through the trajectory of early development. Hierarchical Bayesian estimation aims to enable a simultaneous account of multiple tasks and support future deployment in applied contexts.Read moreRead less