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    Learning Strategies for Evolved Co-operating Multi-Agent Teams in Pursuit Domain 

    Grossi, Gina
    This study investigates how genetic programming (GP) can be effectively used in a multi-agent system to allow agents to learn to communicate. Using the predator-prey scenario and a co-operative learning strategy, ...
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    Image Evolution Using 2D Power Spectra 

    Gircys, Michael
    Procedurally generated textures have seen use in many applications, are a high-interest topic when exploring evolutionary algorithms, and hold a central interest for digital art. However, there is an existing difficulty ...
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    Neural Network Guided Evolution of L-system Plants 

    Xuhao(Eric), Chen
    A Lindenmayer system is a parallel rewriting system that generates graphic shapes using several rules. Genetic programming (GP) is an evolutionary algorithm that evolves expressions. A convolutional neural network(CNN) is ...
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    AuthorBailey, Alexander (1)Bakurov, Illya (1)Entezari Heravi, Ashkan (1)Gircys, Michael (1)Grossi, Gina (1)Harrington, Adrian (1)Harrison, Kyle Robert (1)Maghoumi, Mehran (1)Medland, Michael (1)Moylan, Kelly (1)... View MoreSubject
    Genetic Programming (13)
    Complex Networks (4)Graph Models (3)Evolutionary Algorithms (2)Evolutionary Art (2)Evolutionary Computation (2)Evolutionary Design (2)Art (1)Artificial Architecture (1)Artificial Intelligence (1)... View MoreDate Issued2014 (2)2013 (2)2012 (1)Degree
    M.Sc. Computer Science (13)

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