ai-for-shogi-like-games/lib/eval-model-library.js

javascript library of A.I. algorithms for Shogi-like games

'use strict';

var _boardLib = require('./board-lib.js');

var _evalModel = require('./eval-model.js');

var _pieceSet = require('./piece-set.js');

var model000 = function () {
    var pieceValues = new Map();
    pieceValues.set(_pieceSet.Chick, 1);
    pieceValues.set(_pieceSet.Hen, 5);
    pieceValues.set(_pieceSet.Elephant, 4);
    pieceValues.set(_pieceSet.Giraffe, 8);
    var offBoardMul = 0.75; // wish to penalize off-board pieces but not too much as they can be dropped practically anywhere on the board
    var bonusForEachPossibleMove = 1;
    var malusForEachPossibleMoveOfTheOpponent = -1;
    var royalDistanceFromPromotionZoneBonus = [100, 50, 10];
    var multipliersForDistFromPromotionZone = [0.9, 0.5, 0.1];
    return new _evalModel.EvaluationModel(pieceValues, royalDistanceFromPromotionZoneBonus, multipliersForDistFromPromotionZone, offBoardMul, bonusForEachPossibleMove, malusForEachPossibleMoveOfTheOpponent, 40, -50);
}();

exports.model000 = model000;
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