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
Expecting the unexpected: how people prioritise predictability. This project aims to investigate how people represent and use information about unpredictability in their environment. Seeing too much predictability is problematic, but seeing too little can also be a problem, for example inappropriate "learned helplessness" can occur, whereby people feel disempowered because the world is seen as random. Recent findings demonstrated a bias in fundamental learning that may maintain these inappropria ....Expecting the unexpected: how people prioritise predictability. This project aims to investigate how people represent and use information about unpredictability in their environment. Seeing too much predictability is problematic, but seeing too little can also be a problem, for example inappropriate "learned helplessness" can occur, whereby people feel disempowered because the world is seen as random. Recent findings demonstrated a bias in fundamental learning that may maintain these inappropriate beliefs about unpredictability. This bias is not anticipated by formal theories of learning. The project will investigate how this bias is brought about by first formalising a novel theory of fundamental learning and then systematically testing its assumptions.Read moreRead less
Towards an integrated model of reasoning and reasoning development. This project aims to identify the core cognitive processes that underlie different forms of reasoning and how they develop. The project intends to use a signal detection framework to derive detailed computational models of reasoning which can then be tested through Bayesian computational modelling as well as the first systematic investigation of developmental change in reasoning processes. Expected outcomes include a more princi ....Towards an integrated model of reasoning and reasoning development. This project aims to identify the core cognitive processes that underlie different forms of reasoning and how they develop. The project intends to use a signal detection framework to derive detailed computational models of reasoning which can then be tested through Bayesian computational modelling as well as the first systematic investigation of developmental change in reasoning processes. Expected outcomes include a more principled and comprehensive computational model of reasoning in both adults and children. The project should provide significant benefits by helping to resolve long-standing debates about how humans reason complex arguments relevant to everyday lives and guide development of more effective methods for teaching reasoning.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE150100667
Funder
Australian Research Council
Funding Amount
$328,000.00
Summary
How “known unknowns” become known: How do people encode unpredictability? As Donald Rumsfeld noted, there are 'known unknowns’. That is to say, people are seemingly capable of learning that some things cannot be reliably predicted. This learning underpins decisions from the trivial (whether to pack a jacket) to the life-defining (whom to marry). An aberrant form of this learning may also underlie mental health disorders. Yet the mechanisms of such learning have been largely overlooked by cogniti ....How “known unknowns” become known: How do people encode unpredictability? As Donald Rumsfeld noted, there are 'known unknowns’. That is to say, people are seemingly capable of learning that some things cannot be reliably predicted. This learning underpins decisions from the trivial (whether to pack a jacket) to the life-defining (whom to marry). An aberrant form of this learning may also underlie mental health disorders. Yet the mechanisms of such learning have been largely overlooked by cognitive scientists and thus are poorly understood. The project, which is based on significant pilot data, aims to examine when and how people learn about unpredictability, and what the cognitive, memorial, neural and affective consequences of this learning are.Read moreRead less
Uncovering the processes underlying human reasoning: A state-trace approach. This project aims to answer the most important unresolved question in the psychology of reasoning; how many distinct cognitive processes underlie human reasoning? To answer this question, this project aims to conduct an extensive experimental investigation of the factors that selectively impact inductive and deductive inferences and the application of high-dimensional state-trace analysis; a powerful new method for diag ....Uncovering the processes underlying human reasoning: A state-trace approach. This project aims to answer the most important unresolved question in the psychology of reasoning; how many distinct cognitive processes underlie human reasoning? To answer this question, this project aims to conduct an extensive experimental investigation of the factors that selectively impact inductive and deductive inferences and the application of high-dimensional state-trace analysis; a powerful new method for diagnosing underlying processes from behavioural data. The project is expected also to develop a new computational model that accounts for both inductive and deductive forms of reasoning.Read moreRead less
Understanding and working with anger in male Indigenous people in prison settings. Anger has links to many important outcomes in the prison environment, including violent behaviour, institutional conflict and self-harm. The nature and consequences of anger have rarely been investigated for imprisoned offenders and little is known about anger in male Indigenous Australians in prison, despite evidence that anger levels in this group are particularly high. This research will explore constitutive, ....Understanding and working with anger in male Indigenous people in prison settings. Anger has links to many important outcomes in the prison environment, including violent behaviour, institutional conflict and self-harm. The nature and consequences of anger have rarely been investigated for imprisoned offenders and little is known about anger in male Indigenous Australians in prison, despite evidence that anger levels in this group are particularly high. This research will explore constitutive, regulatory, procedural and other aspects of anger with male Indigenous prisoners, using both qualitative and quantitative methodologies, leading to the development of an intervention that will improve both the wellbeing and adjustment of Indigenous men in prison and rehabilitation outcomes.Read moreRead less
J. M. Coetzee and Making Sense in LIterature. Focusing on the work of Nobel Prize winning South African-Australian novelist J. M. Coetzee, this project examines how Coetzee’s fiction develops techniques that generate or produce meaning about the world and involves levels of ‘translatability’ that allow it to maintain relevance across cultures. A detailed analysis that focuses on how Coetzee makes us question the nature of meaning itself has not yet been undertaken, even though this is of central ....J. M. Coetzee and Making Sense in LIterature. Focusing on the work of Nobel Prize winning South African-Australian novelist J. M. Coetzee, this project examines how Coetzee’s fiction develops techniques that generate or produce meaning about the world and involves levels of ‘translatability’ that allow it to maintain relevance across cultures. A detailed analysis that focuses on how Coetzee makes us question the nature of meaning itself has not yet been undertaken, even though this is of central importance to his work.Read moreRead less
Ethics, responsibility and the carbon budget. This project aims to provide a rigorous ethical framework for dividing the world’s remaining ‘carbon budget’ (CB). In order to avoid climate change the world must drastically limit its emissions of greenhouse gases. The project will develop a new analysis of how our assumptions concerning risk and harm shape conception of the CB. It will also provide a new understanding of how future emission rights should be allocated given that countries have emitt ....Ethics, responsibility and the carbon budget. This project aims to provide a rigorous ethical framework for dividing the world’s remaining ‘carbon budget’ (CB). In order to avoid climate change the world must drastically limit its emissions of greenhouse gases. The project will develop a new analysis of how our assumptions concerning risk and harm shape conception of the CB. It will also provide a new understanding of how future emission rights should be allocated given that countries have emitted vastly different quantities of greenhouse gases in the past. The project will analyse how the CB will impact the climate transition plans of countries such as Australia. The project will thus bring significant new research in philosophy to bear on a practical issue.Read moreRead less
Structured barrier and penalty functions in infinite dimensional optimisation and analysis. Very large scale tightly-constrained optimisation problems are ubiquitous and include water management, traffic flow, and imaging at telescopes and hospitals. Massively parallel computers can solve such problems and provide physically realisable solution only if subtle design issues are mastered. Resolving such issues is the goal of this project.
Construction of near optimal oscillatory regimes in singularly perturbed control systems via solutions of Hamilton-Jacobi-Bellman inequalities. Problems of optimal control of systems evolving in multiple time scales arise in a great variety of applications (from diet to environmental modelling). This project addresses the challenge of analytically and numerically constructing rapidly oscillating controls that would 'near optimally coordinate' the slow and fast dynamics.