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.
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
I like you and I just can't help it: Explaining automatic affective responses. Our automatic affective responses are crucial in determining how we behave particularly in situations where there is little conscious deliberation. These automatic responses have been implicated in dysfunctional behaviours such as unhealthy food choices and racial bias. However very little research has investigated the psychological processes responsible for the formation of these automatic affective responses. The ai ....I like you and I just can't help it: Explaining automatic affective responses. Our automatic affective responses are crucial in determining how we behave particularly in situations where there is little conscious deliberation. These automatic responses have been implicated in dysfunctional behaviours such as unhealthy food choices and racial bias. However very little research has investigated the psychological processes responsible for the formation of these automatic affective responses. The aim of this project is to investigate the role of conditioning and cognitive processes in the formation and expression of automatic affective responses. This will allow for the development of novel interventions targeting automatic responses which contribute to dysfunctional behaviour. Read moreRead less
The value of time during decisions. This project aims to investigate how people value time during decision making. Using an innovative combination of carefully designed experiments and state-of-the-art mathematical cognitive models, this project expects to generate new knowledge regarding how efficiently people allocate time when making decisions, the factors that allow people to perform optimally and those that lead to suboptimal performance. The anticipated outcome of the project is a new fram ....The value of time during decisions. This project aims to investigate how people value time during decision making. Using an innovative combination of carefully designed experiments and state-of-the-art mathematical cognitive models, this project expects to generate new knowledge regarding how efficiently people allocate time when making decisions, the factors that allow people to perform optimally and those that lead to suboptimal performance. The anticipated outcome of the project is a new framework for understanding the optimality of human decision making. This outcome has the potential benefit of providing insight into decision mechanisms across a range of contexts, particularly ageing and models of applied decision making.Read moreRead less
The Psychology of Misinformation—Towards A Theory-driven Understanding. The project aims to develop a psychological theory of misinformation effects. Misinformation influences people’s memory, reasoning and decision-making even after corrections – it thus poses a significant challenge for science and society. Through the combination of systematic experimentation with theory-driven computational modelling, the project will strive to concurrently consider individual-level cognition and the impact ....The Psychology of Misinformation—Towards A Theory-driven Understanding. The project aims to develop a psychological theory of misinformation effects. Misinformation influences people’s memory, reasoning and decision-making even after corrections – it thus poses a significant challenge for science and society. Through the combination of systematic experimentation with theory-driven computational modelling, the project will strive to concurrently consider individual-level cognition and the impact of sociocultural context. It is anticipated that this novel integrative approach will substantially expand our understanding of misinformation effects, and that this theoretical progress will result in the formulation of specific communication strategies to reduce the impact of misinformation on society.Read moreRead less
Rapid decisions: from neuroscience to complex cognitions. A succession of rapid decisions supports our daily life - run or walk? Fish or steak? This project will integrate three different approaches to understanding these decisions, from neuroscience, mathematical psychology and experimental psychology. This research will provide insights about normal human functioning, and problems such as occur in healthy ageing.
The psychology of not wanting to know. This project aims to deliver insights into paradoxical decision-making behaviours of humans who pursue either useless information or deliberate ignorance. The project intends to shed new light on why these conflicting states of information preference exist by building on significant recent advances in understanding how reinforcement learning, anticipation and discounting combine to determine when people do and do not want to know. Intended benefits include ....The psychology of not wanting to know. This project aims to deliver insights into paradoxical decision-making behaviours of humans who pursue either useless information or deliberate ignorance. The project intends to shed new light on why these conflicting states of information preference exist by building on significant recent advances in understanding how reinforcement learning, anticipation and discounting combine to determine when people do and do not want to know. Intended benefits include maintaining and enhancing the excellent status of Australian psychological and cognitive science. The downstream benefits include elucidating the development of anxiety disorders and problem gambling.Read moreRead less
Predicting Behaviour from Brain Representations. This project aims to advance our understanding of how perceptual information is represented in the human brain and to link the structure of perceptual brain representations to human behaviour. The project plans to use complementary methods for recording brain activity (human neuroimaging and primate single-cell neurophysiology) and cutting-edge analytic techniques to generate a predictive model of behaviour based on the structure of perceptual bra ....Predicting Behaviour from Brain Representations. This project aims to advance our understanding of how perceptual information is represented in the human brain and to link the structure of perceptual brain representations to human behaviour. The project plans to use complementary methods for recording brain activity (human neuroimaging and primate single-cell neurophysiology) and cutting-edge analytic techniques to generate a predictive model of behaviour based on the structure of perceptual brain representations. It is anticipated that the results will significantly advance the field of cognitive neuroscience by providing a novel empirical framework for understanding how brain representations are predictive of behaviour.Read moreRead less
Unifying decisions from experience and description. The project aims to answer an enduring question: are separate theories required for decisions from experience and description? For some decisions, potential outcomes and probabilities are known – a gamble offering a 10 per cent chance to win $100 or a 90 per cent chance of nothing, for example. For many others, there is no ‘look-up table’ of probabilities and outcomes and so we must learn them via experience. Intriguingly, risky choices made on ....Unifying decisions from experience and description. The project aims to answer an enduring question: are separate theories required for decisions from experience and description? For some decisions, potential outcomes and probabilities are known – a gamble offering a 10 per cent chance to win $100 or a 90 per cent chance of nothing, for example. For many others, there is no ‘look-up table’ of probabilities and outcomes and so we must learn them via experience. Intriguingly, risky choices made on the basis of described or experienced information differ markedly. This project examines why this divergence occurs. The project plans to test an innovative approach that unifies both types of decisions into a single theoretical framework and provides a suite of empirical and modelling results.Read moreRead less