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Research Topic : Fuzzy computation
Australian State/Territory : NSW
Field of Research : Software Engineering
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  • Funded Activity

    ARC Centres Of Excellence - Grant ID: CE0348249

    Funder
    Australian Research Council
    Funding Amount
    $5,208,295.00
    Summary
    ARC Centre for Complex Systems. The Australian Centre for Complex Systems brings together leading researchers from several disciplines and institutions to conduct research on questions fundamental to understanding and managing complex systems. Its core research program, based on the theme of computation in and by networks of agents, has two interwoven strands. The science strand addresses questions about emergent properties, natural computation, and nonlinear dynamics. The engineering strand add .... ARC Centre for Complex Systems. The Australian Centre for Complex Systems brings together leading researchers from several disciplines and institutions to conduct research on questions fundamental to understanding and managing complex systems. Its core research program, based on the theme of computation in and by networks of agents, has two interwoven strands. The science strand addresses questions about emergent properties, natural computation, and nonlinear dynamics. The engineering strand addresses issues about methodology, modelling toolkits, and management and control. Practical applications are advanced via collaborative projects that address key issues in biology, environment, and socio-economics.
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    Funded Activity

    Discovery Projects - Grant ID: DP0345664

    Funder
    Australian Research Council
    Funding Amount
    $31,500.00
    Summary
    Implementing Feferman-Landin Logic. The objective of this project is to utilise computer based verification tools (such as PVS and Rewritting Logic) to develop a software engineering environment for specifying and verifying systems written in high-level programming languages such as Java, Scheme, and ML. The project will thus subtantially advance the use of formal computer based tools to develop reliable programs and specifications for life-critical systems. The project will also develop form .... Implementing Feferman-Landin Logic. The objective of this project is to utilise computer based verification tools (such as PVS and Rewritting Logic) to develop a software engineering environment for specifying and verifying systems written in high-level programming languages such as Java, Scheme, and ML. The project will thus subtantially advance the use of formal computer based tools to develop reliable programs and specifications for life-critical systems. The project will also develop formally based interoperability between the PVS and Maude systems, two widely used computer tools for reasoning about complex systems.
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    Funded Activity

    Discovery Projects - Grant ID: DP0211351

    Funder
    Australian Research Council
    Funding Amount
    $50,000.00
    Summary
    Building correct-by-construction distributed systems from specifications stating how agents' knowledge evolves over time. Many distributed computer system implementations fail to comply with their original informal requirement specification. These requirements typically refer to the migration of information through the system over time, but current specification languages are not rich enough to express such requirements on a sufficiently abstract level. This results in a huge error-provoking gap .... Building correct-by-construction distributed systems from specifications stating how agents' knowledge evolves over time. Many distributed computer system implementations fail to comply with their original informal requirement specification. These requirements typically refer to the migration of information through the system over time, but current specification languages are not rich enough to express such requirements on a sufficiently abstract level. This results in a huge error-provoking gap between the informal requirements and the starting point of formally verifiable development. To minimise this gap, we develop a particularly expressive specification language, a calculus for stepwise refinement from such specifications down to distributed systems, and an automated tool for checking and supporting refinement steps in the calculus.
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    Funded Activity

    Discovery Projects - Grant ID: DP140101119

    Funder
    Australian Research Council
    Funding Amount
    $400,000.00
    Summary
    More information for better utility; less information for better privacy. More information for better utility; less information for better privacy. The contradiction is everywhere in contemporary IT: doctors need accurate information for diagnosis, but insurance companies' access should be limited; on-line retailers use your postcode to present interesting products, but they also deduce from it how much you will pay. One way to manage this contradiction is to tolerate "small" information flows p .... More information for better utility; less information for better privacy. More information for better utility; less information for better privacy. The contradiction is everywhere in contemporary IT: doctors need accurate information for diagnosis, but insurance companies' access should be limited; on-line retailers use your postcode to present interesting products, but they also deduce from it how much you will pay. One way to manage this contradiction is to tolerate "small" information flows providing the risks involved can be accurately gauged. This project will build on recent advances in information measuring to develop new techniques for measuring the extent to which computer systems can defend against threats to privacy. Success in this project will lead to completely novel methods for security analysis of on-line applications where privacy is a critical issue.
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    Funded Activity

    Discovery Projects - Grant ID: DP120101413

    Funder
    Australian Research Council
    Funding Amount
    $270,000.00
    Summary
    Making software more reliable using a new model for entropies of computers' internal state. A new mathematical analysis of the way computer systems exchange data between their components has led to novel design approaches for the programs implementing those systems. This reduces their cost and increases their reliability, with improvements ranging from small-scale smart devices to widely distributed internet protocols.
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