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Socio-Economic Objective : Biological sciences
Field of Research : Systems Theory
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  • Funded Activity

    Discovery Projects - Grant ID: DP0558038

    Funder
    Australian Research Council
    Funding Amount
    $270,000.00
    Summary
    To flee or not to flee: surviving on incomplete information. Even lowly animals, like the Australian fiddler crabs we will be investigating, are surprisingly competent in making the right decisions in complex situations. They actively acquire information and make good use of it to assure their immediate safety and their long term gains. Animals are exquisitely honed by evolution and we would benefit greatly by understanding what makes them so competent: on a theoretical level, we may learn about .... To flee or not to flee: surviving on incomplete information. Even lowly animals, like the Australian fiddler crabs we will be investigating, are surprisingly competent in making the right decisions in complex situations. They actively acquire information and make good use of it to assure their immediate safety and their long term gains. Animals are exquisitely honed by evolution and we would benefit greatly by understanding what makes them so competent: on a theoretical level, we may learn about efficient rules of good decision making and on a practical level, we may be able to design more flexible, robust and clever machines. Besides being useful in this wider context, the results of our research will thus also contribute to a new and 'sophisticated' appreciation of the cognitive design of animal.
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    Funded Activity

    Discovery Projects - Grant ID: DP0770359

    Funder
    Australian Research Council
    Funding Amount
    $678,305.00
    Summary
    Emergence of robust, stable structures via computation within natural networks. An ever-increasing challenge for modern society is the sheer complexity of vast infrastructures. Unexpected, and sometimes catastrophic, behaviour often emerges from interactions between elements of large systems. As a result, highly complex systems such as the Internet, international finance markets, and power grids are highly susceptible to costly problems such as cascading failures, inefficiency, and critical sens .... Emergence of robust, stable structures via computation within natural networks. An ever-increasing challenge for modern society is the sheer complexity of vast infrastructures. Unexpected, and sometimes catastrophic, behaviour often emerges from interactions between elements of large systems. As a result, highly complex systems such as the Internet, international finance markets, and power grids are highly susceptible to costly problems such as cascading failures, inefficiency, and critical sensitivity. High-tech industries, such as biotechnology and information networking, also face problems in coordinating swarms of interacting agents. This project will contribute to solving such problems by identifying and adapting solutions from nature.
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    Funded Activity

    Discovery Projects - Grant ID: DP0987832

    Funder
    Australian Research Council
    Funding Amount
    $360,000.00
    Summary
    Dual phase evolution in networks. A grand challenge for modern society is the sheer complexity of vast networks arising from organizations and infrastructures. Unexpected, sometimes catastrophic, behaviour often emerges from interactions within such systems. As a result, the Internet, financial markets, power grids and other vital infrastructures are susceptible to costly problems such as cascading failures, inefficiency, and unpredictability. High-tech industries, such as biotechnology and info .... Dual phase evolution in networks. A grand challenge for modern society is the sheer complexity of vast networks arising from organizations and infrastructures. Unexpected, sometimes catastrophic, behaviour often emerges from interactions within such systems. As a result, the Internet, financial markets, power grids and other vital infrastructures are susceptible to costly problems such as cascading failures, inefficiency, and unpredictability. High-tech industries, such as biotechnology and information networking, face problems in coordinating networks of interacting agents. This project will expand the horizon of complex systems by deriving the design principles underpinning stable and resilient network structures and validate these principles on real world networks.
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