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Field of Research : Decision Making
Australian State/Territory : NSW
Status : Closed
Australian State/Territory : SA
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Decision Making (3)
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  • Funded Activity

    Discovery Projects - Grant ID: DP150104206

    Funder
    Australian Research Council
    Funding Amount
    $330,500.00
    Summary
    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.
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    Funded Activity

    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.
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    Funded Activity

    Discovery Projects - Grant ID: DP150101094

    Funder
    Australian Research Council
    Funding Amount
    $534,209.00
    Summary
    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.
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