Exploration, Generalisation and the Development of Learning Traps. This project addresses three fundamental questions about human decision-making; 1) how does exploratory choice lead to “learning traps”, persistent patterns of poor decision-making that cause us to miss rewards and experience losses? 2) how does susceptibility to traps change with age? 3) what strategies prevent traps or facilitate escape? The project will advance our understanding of the cognitive processes underlying adult and ....Exploration, Generalisation and the Development of Learning Traps. This project addresses three fundamental questions about human decision-making; 1) how does exploratory choice lead to “learning traps”, persistent patterns of poor decision-making that cause us to miss rewards and experience losses? 2) how does susceptibility to traps change with age? 3) what strategies prevent traps or facilitate escape? The project will advance our understanding of the cognitive processes underlying adult and child decision-making, using innovative experimental paradigms and computational modeling. Expected outcomes include a novel computational model that explains developmental change in trap formation. The results will guide strategies for improved decision-making in educational, financial, and social settings.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE170100177
Funder
Australian Research Council
Funding Amount
$365,000.00
Summary
Cognitive models of mental architectures in consumer preference. This project aims to characterise the mental architecture of consumer preference, the decision mechanisms and strategies that people use to select products or service options. It uses carefully designed experiments and cognitive modelling of mental architectures that capitalise on the information in the product decisions people make and the time taken to make them. The project provides insight into how people reason with and use in ....Cognitive models of mental architectures in consumer preference. This project aims to characterise the mental architecture of consumer preference, the decision mechanisms and strategies that people use to select products or service options. It uses carefully designed experiments and cognitive modelling of mental architectures that capitalise on the information in the product decisions people make and the time taken to make them. The project provides insight into how people reason with and use information to inform their decisions. This will help organisations to improve products and services and engage with consumers, to create competitive advantage, improve customer service and ultimately stimulate the economy.Read moreRead less
Everyday autism: bridging the gap between lab and life. Recent research demonstrates that autistic people, their families and professionals often feel that there remains a sharp divide between autism science and key aspects of everyday autistic life, despite significant public investment in that science. This proposed research investigates reasons for this divide and proposes ways in which it might be overcome. Expected outcomes include greater opportunities for autistic people to play active ro ....Everyday autism: bridging the gap between lab and life. Recent research demonstrates that autistic people, their families and professionals often feel that there remains a sharp divide between autism science and key aspects of everyday autistic life, despite significant public investment in that science. This proposed research investigates reasons for this divide and proposes ways in which it might be overcome. Expected outcomes include greater opportunities for autistic people to play active roles in the research process and more scientific experimentation that moves out of the laboratory and into more true-to-life settings. Bridging the gap between lab and life will result in better theory-building on autism, better translation of scientific discoveries and more robust policy recommendations.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
Quantitative psychological theories for a dynamic world. . The dynamic world around us means we need to constantly adjust our decisions in light of ever-changing influences, both external (weather, traffic ...) and internal (fatigue, learning ...). This project aims to understand how these changes affect performance. This will have significance for basic science, and also practical benefits for applied psychology. This project will examine the dynamic nature of psychological processes in a range ....Quantitative psychological theories for a dynamic world. . The dynamic world around us means we need to constantly adjust our decisions in light of ever-changing influences, both external (weather, traffic ...) and internal (fatigue, learning ...). This project aims to understand how these changes affect performance. This will have significance for basic science, and also practical benefits for applied psychology. This project will examine the dynamic nature of psychological processes in a range of settings: simple decisions, consumer decisions, human-machine interactions, and team performance. Theory development will lead to improved understanding of underlying cognitive processes, and transforms the measurement of decisions, which is important for applied psychological investigations. Read moreRead less
A paradigm shift in understanding cognitive flexibility. Aims: The project aims to model cognitive flexibility as a dynamic process within people that varies across situations and occasions using advanced data analytics.
Significance: The project intends to generate new knowledge in intelligence theory using recent advances that overcome known theory-testing limitations that have historically been ignored.
Expected Outcomes: An authentic account of cognitive flexibility and a new paradigm for ....A paradigm shift in understanding cognitive flexibility. Aims: The project aims to model cognitive flexibility as a dynamic process within people that varies across situations and occasions using advanced data analytics.
Significance: The project intends to generate new knowledge in intelligence theory using recent advances that overcome known theory-testing limitations that have historically been ignored.
Expected Outcomes: An authentic account of cognitive flexibility and a new paradigm for developing and testing models of dynamic change within people.
Benefits: Dynamic models are needed to understand authentic problem-solving and cognitive function. The advances benefit research and applied areas where dynamic processes are important, including education, work, and cognitive aging.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE210100292
Funder
Australian Research Council
Funding Amount
$380,868.00
Summary
From known to unknown: Individual differences in associative generalisation. This project aims to investigate how and why individuals differ in the way that they generalise from past experiences to novel situations. The goal of the project is to develop an innovative and formal model capable of predicting how a given individual will generalise based on their beliefs and personal traits, and to better understand how people behave when there are multiple conflicting ways to generalise. The expecte ....From known to unknown: Individual differences in associative generalisation. This project aims to investigate how and why individuals differ in the way that they generalise from past experiences to novel situations. The goal of the project is to develop an innovative and formal model capable of predicting how a given individual will generalise based on their beliefs and personal traits, and to better understand how people behave when there are multiple conflicting ways to generalise. The expected outcomes of the project are a better understanding and measurement of generalisation, a fundamental psychological process. The outcomes of this project can be used to benefit the development of clinical treatment for anxiety disorders, of which overgeneralisation of fear responses is a defining feature. Read moreRead less
Bayesian inference for psychological theories with intractable likelihood. This project pursues breakthroughs which allow important questions of basic and applied science to be addressed using mathematical theories from cognitive psychology. Advances are made through an interdisciplinary effort, combining recent developments in econometric and statistical methods and cognitive science. The outcomes will advance knowledge and open up new avenues for applied research in important aspects of psych .... Bayesian inference for psychological theories with intractable likelihood. This project pursues breakthroughs which allow important questions of basic and applied science to be addressed using mathematical theories from cognitive psychology. Advances are made through an interdisciplinary effort, combining recent developments in econometric and statistical methods and cognitive science. The outcomes will advance knowledge and open up new avenues for applied research in important aspects of psychology. This research will result in new methods available to the wider scientific community which open up new horizons for understanding basic cognition, and human behavior in many domains. Read moreRead less
Flexible models and methods for cognitive model-based decision-making. This project aims to apply mathematical decision models to important questions of basic and applied science. Advances will be pursued through an interdisciplinary effort, combining recent developments in econometric and statistical methods, cognitive science and computing. The expected outcomes will bring a proven and powerful approach to a new range of questions investigating psychological aspects of choices about health c ....Flexible models and methods for cognitive model-based decision-making. This project aims to apply mathematical decision models to important questions of basic and applied science. Advances will be pursued through an interdisciplinary effort, combining recent developments in econometric and statistical methods, cognitive science and computing. The expected outcomes will bring a proven and powerful approach to a new range of questions investigating psychological aspects of choices about health care and consumer purchases. This project will provide significant benefits to the wider scientific community to understand basic cognition, and human behaviour in many domains.Read moreRead less
Modelling human perceptual-motor interaction for human-machine applications. This project aims to develop a new modelling framework for identifying the perceptual-motor processes that underlie cooperative and competitive human interaction. The project will also determine whether this modelling framework can be combined with modern machine-learning methods to develop artificial agents capable of human level performance. Expected outcomes will include a practical methodology for rapidly generating ....Modelling human perceptual-motor interaction for human-machine applications. This project aims to develop a new modelling framework for identifying the perceptual-motor processes that underlie cooperative and competitive human interaction. The project will also determine whether this modelling framework can be combined with modern machine-learning methods to develop artificial agents capable of human level performance. Expected outcomes will include a practical methodology for rapidly generating models of effective human interaction that can be easily implemented in human-machine systems. This will provide a richer understanding of the fundamental perceptual-motor processes that support robust human interaction and enhanced the effectiveness of human-machine collaboration and training technologies.Read moreRead less