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
Cognitive models of decision making in clinical populations. This cognitive science project aims to develop new methods for mathematical modelling of decision making, and to apply these methods to study decision making in people with problem drug use. Precise measures of the thought processes underlying decision making in drug users will help to direct efforts to prevent and treat drug problems.
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
Judgements and Decisions under Ambiguity and Conflict. Little is known about how people make decisions when faced with uncertainties arising from information that is both ambiguous and conflicting, despite the fact that ambiguity and conflict frequently arise in real decision-making situations. In fact, virtually nothing is known about the joint impact of conflict and ambiguity on judgements of risk and uncertainty or on decisional preferences. This project will investigate how perceptions of un ....Judgements and Decisions under Ambiguity and Conflict. Little is known about how people make decisions when faced with uncertainties arising from information that is both ambiguous and conflicting, despite the fact that ambiguity and conflict frequently arise in real decision-making situations. In fact, virtually nothing is known about the joint impact of conflict and ambiguity on judgements of risk and uncertainty or on decisional preferences. This project will investigate how perceptions of uncertainty are jointly affected by conflict and ambiguity in information, develop and test formal models of judgement and decision making under conflict and ambiguity, and examine the joint effects of ambiguity and conflict aversion on decision making.Read moreRead less
The dog that didn't bark: a Bayesian account of reasoning from censored data. This project aims to develop and test a new computational theory of inductive reasoning. Inductive reasoning involves extending knowledge from known to novel instances, and is a central component of intelligent behaviour. This project will address the cognitive mechanisms that allow people to draw inferences based on both observed and censored evidence. The project intends to test the model through an extensive program ....The dog that didn't bark: a Bayesian account of reasoning from censored data. This project aims to develop and test a new computational theory of inductive reasoning. Inductive reasoning involves extending knowledge from known to novel instances, and is a central component of intelligent behaviour. This project will address the cognitive mechanisms that allow people to draw inferences based on both observed and censored evidence. The project intends to test the model through an extensive program of experimental investigation and computational modelling. The anticipated benefits include an enhanced understanding of human inference, especially in domains such as the evaluation of forensic or financial evidence, where data censoring is common.Read moreRead less
Zero-sum thinking: psychological predictors and causes. This project investigates the causes and psychological triggers of zero-sum thinking, the tendency to think that others' gains leave less for oneself. The results will enable negotiators and managers to defuse dysfunctional zero-sum thinking, thereby increasing the chances for cooperation and 'win-win' outcomes.
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