Showing 13 open source projects for "artificial life simulation in java"

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  • 1
    GroIMP

    GroIMP

    Growth-grammar related Interactive Modelling Platform

    Important: Groimp migrates to Gitlab. You can find the latest code at "https://gitlab.com/grogra/groimp/". The version on Sourceforge will not be updated anymore. The modelling platform GroIMP is designed as an integrated platform which incorporates modelling, visualisation and interaction. It exhibits several features which makes itself suitable for the field of biological or ALife modelling: The “modelling backbone” consists in the language XL. It is fully integrated, e.g., the...
    Downloads: 9 This Week
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  • 2
    JGAP is a Genetic Algorithms and Genetic Programming package written in Java. It is designed to require minimum effort to use, but is also designed to be highly modular. JGAP features grid functionality and a lot of examples. Many unit tests included. Legal notice/Impressum: Klaus Meffert An der Struth 25 D-65510 Idstein sourceforge <at> klausmeffert.de
    Downloads: 3 This Week
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  • 3
    GenoCAD
    GenoCAD is a CAD software for synthetic biology. This application provides a web-based tool to design plasmids, artificial gene networks, and other synthetic genetic systems composed of standard genetic parts. It includes a parts management system, a rule-based design tool, and a simulation engine. This project has morphed into a SaaS model. The open source code is no longer maintained.
    Downloads: 1 This Week
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  • 4
    TreeLiker

    TreeLiker

    TreeLiker is a collection of fast algorithms for working with complex

    TreeLiker is a collection of fast algorithms for working with complex structured data in relational form. The data can, for example, describe large organic molecules such as proteins or groups of individuals such as social networks or predator-prey networks etc. The algorithms included in TreeLiker are unique in that, in principle, they are able to search given sets of relational patterns exhaustively, thus guaranteeing that if some good pattern capturing an important feature of the problem...
    Downloads: 0 This Week
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  • 5
    The Automated Life Ecosystem Simulator is a microbe simulation environment developed in Java.
    Downloads: 0 This Week
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  • 6
    Agent-based multiscale model of cancer proliferation dynamics
    Downloads: 0 This Week
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  • 7
    Simulator of virtual animals made up of biological neural networks for research in the Computational Neuroscience field.
    Downloads: 0 This Week
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  • 8
    An artificial life and cellular automata simulator, inspired by Conway's Game of Life.
    Downloads: 0 This Week
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  • 9

    Pond Scum

    Evolution Simulator.

    An Evolution Simulator of Single Cells in a Pond. This shows a crosssection of water with sun shining from above. A single cell is dropped in and has various genes. The cells multipy and evolve. See Files above for download and screenshot.
    Downloads: 0 This Week
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  • 10
    This projects intends to develop a complete distributed peer-to-peer environment for running heuristic optimization, modelling, artificial life, etc applications. This involves a network engine, libraries and different user interfaces. All this in java.
    Downloads: 0 This Week
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  • 11
    This project aims to develop various tools for artificial life and complex systems simulations: from the simulator itself to generic generation tools.
    Downloads: 0 This Week
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  • 12
    Basic life is an application that desires to simulate basic life based on some basic chemistry/physics rules. This environment provides particles that can bond, vibrate, react, etc. in order to create basic cells
    Downloads: 0 This Week
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  • 13
    videonetwork

    videonetwork

    A simulator for self-organizing video replication and more

    Multimedia consumption at social events - if available - can be considered as a complex problem. People use their smart phones and tablets to take pictures and videos, leading to a high number of production places. If we enable those visitors to share their content at the event, new challenges emerge. Visitors move, go online and offline, and build a dynamic network. One can say a complex adaptive network emerges, with all its problems. We tackle these problems by introducing a bio-inspired...
    Downloads: 0 This Week
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