{
    "info": {
        "author": "Florian Berger",
        "author_email": "fberger@florian-berger.de",
        "bugtrack_url": null,
        "classifiers": [],
        "description": "About\n-----\n\nlibadapt is a generic framework to add adaptivity to game-based learning\n(GBL) applications.\n\nThis library implements the following architecture:\n\n::\n\n                  +-----------------------------+\n                  |                             |\n                  |                             v\n                  |                         Measured Variables\n                  |                             |\n                  |                             | Value                                  Algorithmical Optimisation\n                  |                             v                                      /\n    Player -> Interaction    Evaluation <-  Adaptation Function <- Reference Progress <- Author\n                  ^                             |                                      \\     |\n                  |                             |                                        Mean Values from Test Series\n                  |                             v                                            |\n                  |                         Adaptation Threshold <---------------------------+\n                  |                             |\n                  |                             v\n                  |                         Evaluation and Decision-making\n                  |                             |\n                  |                             | Goal-oriented Changes\n                  |                             v\n                  |                         Manipulated Variables\n                  |                             |\n                  +-----------------------------+\n\nAdaptor.adapt\\_to() should be called from the main loop of an\ninteractive application with updated measurement to base the adaptation\non.\n\nThe internal calling order is:\n\n::\n\n    Adaptor.adapt_to()\n\n        Adaptor.quantify()\n\n        Adaptor.log()\n\n        Adaptor.compare()\n\n        Adaptor.check_threshold()\n\n        Adaptor.intervene()\n\nIt is based on an architecture first published in:\n\nFlorian Berger. Evaluating an implementation of an adaptive game-based\nlearning architecture. In Proceedings of UMAP 2012, 2012\n\nPrerequisites\n-------------\n\nPython http://www.python.org\n\nInstallation\n------------\n\nUnzip the file, then at the command line run\n\n::\n\n    python setup.py install\n\nDocumentation\n-------------\n\nTo read the API documentation, open a shell / DOS window, navigate to\nthe libadapt directory, and run\n\n::\n\n    pydoc libadapt\n\nYou can create a HTML version using\n\n::\n\n    pydoc -w libadapt\n\nLicense\n-------\n\nlibadapt is licensed under the GPL. See the file COPYING for details.\n\nAuthor\n------\n\nFlorian Berger",
        "description_content_type": null,
        "docs_url": null,
        "download_url": "UNKNOWN",
        "downloads": {
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            "last_month": -1,
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        "home_page": "http://florian-berger.de/en/software/libadapt/",
        "keywords": null,
        "license": "GPL",
        "maintainer": null,
        "maintainer_email": null,
        "name": "libadapt",
        "package_url": "https://pypi.org/project/libadapt/",
        "platform": "UNKNOWN",
        "project_url": "https://pypi.org/project/libadapt/",
        "project_urls": {
            "Download": "UNKNOWN",
            "Homepage": "http://florian-berger.de/en/software/libadapt/"
        },
        "release_url": "https://pypi.org/project/libadapt/0.1.0/",
        "requires_dist": null,
        "requires_python": null,
        "summary": "libadapt - A generic framework to add adaptivity to game-based learning (GBL) applications",
        "version": "0.1.0"
    },
    "last_serial": 435873,
    "releases": {
        "0.1.0": []
    },
    "urls": []
}