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nolfi.cc

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#include <magic/mgdev-eps.h>
#include <magic/mclass.h>
#include <magic/mlsystem.h>
#include <magic/mturtle.h>

#include <inanna/annetwork.h>
#include <inanna/initializer.h>
#include <nhp/individual.h>

#include "annalee/nolfi.h"
#include "annalee/nolfinet.h"

impl_dynamic (NolfiEncoding, {ANNEncoding});



//                                                                           //
//       |   |      |     o -----                      | o                   //
//       |\  |      |  __   |       _    ___           |     _               //
//       | \ |  __  | /   | |---  |/ \  |   \  __   ---| | |/ \   ___        //
//       |  \| /  \ | +-- | |     |   | |     /  \ (   | | |   | (   \       //
//       |   | \__/ | |   | |____ |   |  \__/ \__/  ---| | |   |  ---/       //
//                    |                                           __/        //

NolfiEncoding::NolfiEncoding (const GeneticID& name, const StringMap& params) : ANNEncoding (name, params) {
    /*if (isnull(params["NolfiEncoding.types"])) {
        mTypes = (mInputs>mOutputs)? mInputs:mOutputs;
        if (mTypes<16)
            mTypes = 16;
    } else
    */
    mTypes = params["NolfiEncoding.types"].toInt ();

    mXSize      = getOrDefault (params, "NolfiEncoding.xSize", String(9)).toInt ();
    mYSize      = getOrDefault (params, "NolfiEncoding.ySize", String(22)).toInt ();
    mAxonScale  = getOrDefault (params, "NolfiEncoding.axonScale", String(0.5)).toDouble ();
    mTipRadius  = getOrDefault (params, "NolfiEncoding.tipRadius", String(0.5)).toDouble ();
    mMaxHidden  = getOrDefault (params, "NolfiEncoding.neurons", String(0.5)).toInt ();

    ASSERTWITH (mTipRadius>=0.5 || params["NolfiEncoding.tipRadius"]=="auto-network"
                || params["NolfiEncoding.tipRadius"]=="auto-cell",
                format ("NolfiEncoding.tipRadius must be a real-valued radius >=0.5, "
                        "\042auto-genome\042, or \042auto-cell\042; "
                        "not \042%s\042", (CONSTR) params["NolfiEncoding.tipRadius"]));
}

NolfiEncoding::NolfiEncoding (const NolfiEncoding& other) : ANNEncoding (other) {
    mTypes      = other.mTypes;
    mXSize      = other.mXSize;
    mYSize      = other.mYSize;
    mAxonScale  = other.mAxonScale;
    mTipRadius  = other.mTipRadius;
}

void NolfiEncoding::copy (const Genstruct& o) {
    ANNEncoding::copy (o);
    const NolfiEncoding& other = static_cast<const NolfiEncoding&>(o);
    mTypes      = other.mTypes;
    mXSize      = other.mXSize;
    mYSize      = other.mYSize;
    mAxonScale  = other.mAxonScale;
    mTipRadius  = other.mTipRadius;
}

void NolfiEncoding::addPrivateGenes (Gentainer& g, const StringMap& params) {
    Gentainer::addPrivateGenes (g, params);
    
    //StringMap params;
    //params.set("graycoding","0");
    for (int i=0; i<mMaxHidden; i++)
        NolfiCell::addGenesTo (*this, i, mTypes, mXSize, mYSize, params);

    if (params["NolfiEncoding.tipRadius"] == "auto-network")
        add (&(new BitFloatGene ("tipr", 1, 10, 8, params))->hide());
}

bool NolfiEncoding::execute (const GeneticMsg& msg) const {

    // Read the cells from the genome
    NolfiNet nnet (mInputs, mMaxHidden, mOutputs, mXSize, mYSize, mTipRadius, mAxonScale);
    nnet.decodeFrom (*this);

    // Build the network
    ANNetwork* net = nnet.growNet ();

    //TRACE1 ("%s", (CONSTR) (net->getLayering().toString()));
    
    // Add the plan to the host
    if (net) {
        net->setInitializer (new GaussianInitializer ());

        // Take pictures only if this is a picture-taking recreation
        bool takePics = int(dynamic_cast<const TakeBrainPicsMsg*>(&msg));

        if (takePics) {
            msg.host.set ("brainpic1", new String (nnet.drawEPS()));
            msg.host.set ("brainpic2", new String (net->drawEPS()));
        }
        net->cleanup (true, mPrunePassthroughs);
        if (takePics) {
            net->drawFeedForward();
            msg.host.set ("brainpic3", new String (net->drawEPS()));
            delete net; // The net was created only for taking babypics
        } else {
            // Place the brain description into host
            msg.host.set ("brainplan", net);
        }
    }

    return true;
}

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