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
Phonological effects on the development of inflectional morphology. This project investigates the mechanisms underlying typically developing children's variable omission of inflectional morphemes (for example, plural, past tense). The results will have significant implications for the evaluation and design of interventions for language-delayed populations where serious problems of communication persist.
A process model of visual working memory. This project aims to develop a process model of encoding of items into memory. Working memory is central to almost all cognitive functions, but little is known about short-term memory for visual information. Progress in this area is slow because of a focus on models that do not specify the processes underlying memory, and no model explains the processes that would limit the number of items the memory can hold to four. A process model is expected to addre ....A process model of visual working memory. This project aims to develop a process model of encoding of items into memory. Working memory is central to almost all cognitive functions, but little is known about short-term memory for visual information. Progress in this area is slow because of a focus on models that do not specify the processes underlying memory, and no model explains the processes that would limit the number of items the memory can hold to four. A process model is expected to address fundamental issues in visual working memory.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
Investigation of recognition memory in behavioural, electrophysiological, and functional neuro-imaging domains using state-trace analysis. This project utilises a novel methodology to investigate human recognition memory across three separate domains - behavioural, electrophysiological and functional neuro-imaging. The aim is to determine how these three aspects of memory are related and if they can be united by a single theory.
Improving the diagnosticity of eyewitness memory choices. Eyewitness identification error is common and costly. This project aims to improve the quality of information provided by eyewitnesses, and the ability of police officers and triers of fact (e.g., juries, judges) to evaluate this information. Laboratory investigations will determine how best to test memory and confidence to achieve this aim. A new class of cognitive models will provide a unified account of response accuracy, response time ....Improving the diagnosticity of eyewitness memory choices. Eyewitness identification error is common and costly. This project aims to improve the quality of information provided by eyewitnesses, and the ability of police officers and triers of fact (e.g., juries, judges) to evaluate this information. Laboratory investigations will determine how best to test memory and confidence to achieve this aim. A new class of cognitive models will provide a unified account of response accuracy, response time, and confidence, suitable for application to computerized testing scenarios. The models and testing methods validated in the laboratory will be refined for application in eyewitness memory settings, facilitating better evaluation of identification evidence, and potentially reducing wrongful convictions.Read moreRead less
Uncovering the processes underlying human category learning. There is a pervasive belief that complex tasks can somehow be learned via a 'smart' implicit or procedural learning mechanism, which operates independently of memory and attention. This idea has important implications for our understanding of cognition. If true, there seems little point in providing explicit instruction in such tasks, and efforts to do so are, at best, wasted time and, at worst, detrimental to the learning process. Th ....Uncovering the processes underlying human category learning. There is a pervasive belief that complex tasks can somehow be learned via a 'smart' implicit or procedural learning mechanism, which operates independently of memory and attention. This idea has important implications for our understanding of cognition. If true, there seems little point in providing explicit instruction in such tasks, and efforts to do so are, at best, wasted time and, at worst, detrimental to the learning process. This project will provide much-needed scrutiny of this idea and will help not only to re-orient our understanding of how we deal with complex information, but will also highlight issues about data interpretation that are fundamental for the research and wider communities.Read moreRead less
Outcomes of collective action: After the blockade, what next? The project intends to study how collective actors react when conventional or radical collective action succeeds or fails. If a democratic protest rally is ignored by authorities, does support for violence increase? If a turbulent riot attracts favourable media attention and concessions, does this increase the likelihood of future riots or undercut them? This project aims to answer these questions. It plans to test a new, theoreticall ....Outcomes of collective action: After the blockade, what next? The project intends to study how collective actors react when conventional or radical collective action succeeds or fails. If a democratic protest rally is ignored by authorities, does support for violence increase? If a turbulent riot attracts favourable media attention and concessions, does this increase the likelihood of future riots or undercut them? This project aims to answer these questions. It plans to test a new, theoretically integrative model of collective action and the intergroup dynamic, using a mixed-methods approach including experiments, small group research and longitudinal field surveys. Project outcomes may provide an evidence basis for policy-makers' debates about trajectories of radicalisation and deradicalisation, and for recommendations about engagement and negotiation of tactics for activists, political parties, and nongovernment organisations.Read moreRead less
A multi-agent system for stakeholder management in off-site construction. This project aims to investigate a socio-technology model for stakeholders and informatics to improve off-site construction (OSC) productivity in infrastructure construction. A multi-agent system for OSC could drive down cost, but requires highly integrated collaboration among stakeholders. The project’s quantitative approaches include large-scale social network analysis, multi-agent consensus modelling and an optimisation ....A multi-agent system for stakeholder management in off-site construction. This project aims to investigate a socio-technology model for stakeholders and informatics to improve off-site construction (OSC) productivity in infrastructure construction. A multi-agent system for OSC could drive down cost, but requires highly integrated collaboration among stakeholders. The project’s quantitative approaches include large-scale social network analysis, multi-agent consensus modelling and an optimisation algorithm for collaborative planning. The project outcomes are expected to secure long-term economic benefits by enhancing performance in complex projects.Read moreRead less