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bot.js
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bot.js
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class B_Cell{
constructor(value,reset_val){
this.value = value;
this.fused = false;
this.resetValue = reset_val;
}
}
class Bot{
constructor(target,accuracy){
this.target = target;
this.level = accuracy;
this.weights = [[7,6,5,4],[6,5,4,3],[5,4,3,2],[4,3,2,1]];
}
cloneBoard(){
let mat = new Array(this.target.row);
for(let i=0;i<this.target.row;i++){
mat[i] = new Array(this.target.col);
for(let j=0;j<this.target.col;j++)
mat[i][j] = new B_Cell(this.target.board[i][j].value,this.target.board[i][j].resetValue);
}
return mat;
}
isOver(mat){
for(let i=0;i<mat.length;i++)
for(let j=0;j<mat[0].length;j++)
if(mat[i][j].value==mat[i][j].resetValue || this.hasPossible(i,j,mat[i][j].value,0,mat)==true)
return false;
return true;
}
hasPossible(i,j,value,level,mat){
if(i<0 || j<0 || i>=mat.length || j>=mat[0].length)
return -1;
if(level==1)
return mat[i][j].value;
if(this.hasPossible(i+1,j,value,level+1,mat)==value || this.hasPossible(i-1,j,value,level+1,mat)==value || this.hasPossible(i,j+1,value,level+1,mat)==value || this.hasPossible(i,j-1,value,level+1,mat)==value)
return true;
return false;
}
isEqual(mat1,mat2){
for(let i=0;i<mat1.length;i++)
for(let j=0;j<mat1[0].length;j++)
if(mat1[i][j].value!=mat2[i][j].value)
return false;
return true;
}
findAbsolute(grid,i,j,value,level){
if(i<0 || j<0 || i>=grid.length || j>=grid[0].length)
return value;
if(level==1)
return grid[i][j].value;
return (Math.abs(value-this.findAbsolute(grid,i+1,j,value,level+1))+Math.abs(value-this.findAbsolute(grid,i,j+1,value,level+1))+Math.abs(value-this.findAbsolute(grid,i-1,j,value,level+1))+Math.abs(value-this.findAbsolute(grid,i,j-1,value,level+1)));
}
Fitness(grid){
let score = 0;
let penalty = 0;
let freespace = 1;
for(let i=0;i<grid.length;i++)
for(let j=0;j<grid[0].length;j++) {
score += this.weights[i][j] * grid[i][j].value;
penalty+=this.findAbsolute(grid,i,j,grid[i][j].value,0);
if(grid[i][j].value!=grid[i][j].resetValue)
freespace++;
}
return (score/freespace)-(penalty/freespace);
}
predict(grid,depth,agent,prev){
if(depth<=0)
return this.Fitness(grid);
if(this.isOver(grid) || this.isEqual(grid,prev))
return -9999/depth;
if(agent=="board"){
let score = 0;
let empty =0;
for(let i=0;i<grid.length;i++)
for(let j=0;j<grid[0].length;j++)
if(grid[i][j].value==grid[i][j].resetValue){
let newGrid = this.cloneMat(grid);
newGrid[i][j].value = 2;
score+=0.9*this.predict(newGrid,depth-1,"player",grid);
newGrid = this.cloneMat(grid);
newGrid[i][j].value = 4;
score+=0.1*this.predict(newGrid,depth-1,"player",grid);
empty+=1;
}
return score/empty;
}
else{
let score = 0;
for(let i=0;i<4;i++){
let newGrid = this.cloneMat(grid);
if(i==0)
this.forwardAction(-1,0,newGrid);
else if(i==1)
this.reverseAction(1,0,newGrid);
else if(i==2)
this.forwardAction(0,-1,newGrid);
else
this.reverseAction(0,1,newGrid);
score = this.max([score,this.predict(newGrid,depth-1,"board",grid)]);
}
return score;
}
}
guessNextMove(){
let grid = this.cloneBoard();
let score = 0;
let report = [];
let depth = this.level;
for(let i=0;i<4;i++){
let newGrid = this.cloneMat(grid);
if(i==0)
this.forwardAction(-1,0,newGrid);
else if(i==1)
this.reverseAction(1,0,newGrid);
else if(i==2)
this.forwardAction(0,-1,newGrid);
else
this.reverseAction(0,1,newGrid);
score = this.max([score,this.predict(newGrid,depth-1,"board",grid)]);
report.push(score);
}
let finalScore = this.max(report);
for(let i=0;i<report.length;i++)
if(report[i]==finalScore){
if(i==0)
board.forwardAction(-1,0);
else if(i==1)
board.reverseAction(1,0);
else if(i==2)
board.forwardAction(0,-1);
else if(i==3)
board.reverseAction(0,1);
break;
}
}
cloneMat(mat){
let clone = new Array(mat.length);
for(let i=0;i<mat.length;i++){
clone[i] = new Array(mat[0].length);
for(let j=0;j<mat[0].length;j++)
clone[i][j] = new B_Cell(mat[i][j].value,mat[i][j].resetValue);
}
return clone;
}
reverseAction(ai,aj,mat){
for(let i=this.target.row-1;i>=0;i--)
for(let j=this.target.col-1;j>=0;j--)
this.adjust(i+ai, j+aj, i, j, ai, aj, mat);
}
forwardAction(ai,aj,mat){
for(let i=0;i<this.target.row;i++)
for(let j=0;j<this.target.col;j++)
this.adjust(i+ai, j+aj, i, j, ai, aj, mat);
}
adjust(i,j,bi,bj,ai,aj,mat){
if(i<0 || j<0 || i>=mat.length || j>=mat[0].length || mat[i][j].fused || mat[bi][bj].value == mat[bi][bj].resetValue || (mat[i][j].value!=mat[bi][bj].value && mat[i][j].value!=mat[i][j].resetValue))
return true;
if(mat[i][j].value == mat[bi][bj].value){
mat[i][j].value+=mat[bi][bj].value;
mat[bi][bj].value = mat[bi][bj].resetValue;
mat[i][j].fused = true;
}
else if(this.adjust(i+ai,j+aj,bi,bj,ai,aj,mat)){
mat[i][j].value = mat[bi][bj].value;
mat[bi][bj].value = mat[bi][bj].resetValue;
}
return false;
}
max(list){
let res = -99999;
for(let i=0;i<list.length;i++)
if(res<list[i])
res = list[i];
return res;
}
}
function On_Off_Bot(){
if(interval==null) {
document.getElementById("bot").style.backgroundColor = "green";
interval = setInterval(function () {
bot.guessNextMove();
}, speed);
}else{
document.getElementById("bot").style.backgroundColor = "#DC4C46";
clearInterval(interval);
interval = null;
}
}
let accuracy = 6;
if (typeof window.orientation !== 'undefined') {
accuracy = 5;
document.getElementById("msg").innerText="Accuracy reduced in mobiles due to performance issue!";
}
let speed = 5;
let bot = new Bot(board,accuracy);
let interval = null;