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Field of Research : Other Artificial Intelligence
Research Topic : Decision support
Australian State/Territory : NSW
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Other Artificial Intelligence (3)
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  • Funded Activity

    Discovery Projects - Grant ID: DP0209539

    Funder
    Australian Research Council
    Funding Amount
    $196,500.00
    Summary
    Agent-Oriented Concept Management. This project will develop innovative agent-oriented approaches to managing information. An understanding of the concepts used by a system will enhance its ability to share information. Knowledge and concept management are key components of an information economy, and it is widely accepted that the success of the next generation of information systems will be their agent-oriented capability and their ability to interact with each other. In response, internation .... Agent-Oriented Concept Management. This project will develop innovative agent-oriented approaches to managing information. An understanding of the concepts used by a system will enhance its ability to share information. Knowledge and concept management are key components of an information economy, and it is widely accepted that the success of the next generation of information systems will be their agent-oriented capability and their ability to interact with each other. In response, international funding agencies have targeted agent-oriented technologies as essential ingredients for prosperity in the 21st century. This project will help to ensure that Australia shares in that prosperity.
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    Funded Activity

    Discovery Projects - Grant ID: DP0452359

    Funder
    Australian Research Council
    Funding Amount
    $300,000.00
    Summary
    Learning strategies for personal agents to assist professional users in searching the Web. Many professional groups have large unmet information needs, with significant consequences for the public. We will take a novel strategy-based approach to the design of agents that assist humans in information search tasks, which represents a significant departure from the dominant paradigm of content-based retrieval. Our goal is to develop automated methods to learn task specific search strategies, embed .... Learning strategies for personal agents to assist professional users in searching the Web. Many professional groups have large unmet information needs, with significant consequences for the public. We will take a novel strategy-based approach to the design of agents that assist humans in information search tasks, which represents a significant departure from the dominant paradigm of content-based retrieval. Our goal is to develop automated methods to learn task specific search strategies, embed them in agents, and use them to guide human-agent interactions and search behaviours. To discover the effectiveness of our approach we will evaluate our methods with health care professionals.
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    Funded Activity

    Linkage Projects - Grant ID: LP0991295

    Funder
    Australian Research Council
    Funding Amount
    $280,000.00
    Summary
    Feature Detection and Computer-aided Diagnosis with Longitudinal Tracking of Benign Asbestos-Related Pleural Disease in CT images. This project seeks to develop smart and novel feature extraction and knowledge acquisition techniques to assist radiologists in automated diagnosis and assessment of lung diseases. These outcomes will lead to improved delivery of health services in Australia, including in rural regions. They will lead to more accurate assessment of asbestos related pleural diseases f .... Feature Detection and Computer-aided Diagnosis with Longitudinal Tracking of Benign Asbestos-Related Pleural Disease in CT images. This project seeks to develop smart and novel feature extraction and knowledge acquisition techniques to assist radiologists in automated diagnosis and assessment of lung diseases. These outcomes will lead to improved delivery of health services in Australia, including in rural regions. They will lead to more accurate assessment of asbestos related pleural diseases for compensation and treatment and better followup, leading to earlier treatment and better quality of life for patients suffering from lung diseases. The project will also save costs due to automated assessment as well as the potential for fewer patient scans.
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