X-Git-Url: https://git.auder.net/?a=blobdiff_plain;f=js%2Frpsls.js;fp=js%2Frpsls.js;h=cff3001a3403f0574a4da691cb7ae7232bc19f36;hb=d666e77138bb5e3e397d68dbbddc28845c81068b;hp=0000000000000000000000000000000000000000;hpb=932d367fbda2dacd73da177b54f0ec00489225b4;p=rpsls-bot.git

diff --git a/js/rpsls.js b/js/rpsls.js
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+++ b/js/rpsls.js
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+const nChoice = 5; //fixed for this game
+
+const symbols = [ "Rock", "Lizard", "Spock", "Scissors", "Paper" ];
+
+// Same order as in symbols
+const messages = [
+	[ "=",             "crushes",        "is vaporized by", "cruches",           "is covered by"   ],
+	[ "is crushed by", "=",              "poisons",         "is decapitated by", "eats"            ],
+	[ "vaporizes",     "is poisoned by", "=",               "smashes",           "is disproved by" ],
+	[ "is crushed by", "decapitates",    "is smashed by",   "=",                 "cuts"            ],
+	[ "covers",        "is eaten by",    "disproves",       "is cut by",         "="               ],
+];
+
+// Rewards matrix, order as in symbols
+const rewards = Array.from(Array(nChoice)).map( (e,i) => { //lines
+	return Array.from(Array(nChoice)).map( (f,j) => { //columns
+		// i against j: gain from i viewpoint
+		if (j == (i+1) % nChoice || j == (i+3) % nChoice)
+			return 1; //I win :)
+		else if (i != j)
+			return -1; //I lose :(
+		return 0; //i==j
+	});
+});
+
+new Vue({
+	el: "#rpsls",
+	data: {
+		nInput: 5, //default
+		humanHistory: [ ], //your nInput last moves, stored (oldest first)
+		humanMove: -1,
+		gameState: 0, //total points of the human
+		compMove: -1, //last move played by computer
+		drawIsLost: false, //normal (or true: draw is considered loss)
+		rewards: [ ], //initialized at first human move with new nInput
+		weights: [ ], //same as above
+		symbols: symbols,
+		messages: messages,
+	},
+	created: function() {
+		this.reinitialize();
+	},
+	methods: {
+		// Called on nInput change
+		reinitialize: function() {
+			// weights[i][j][k]: output i -- input j/choice k
+			this.weights = Array.from(Array(nChoice)).map( i => {
+				return Array.from(Array(this.nInput)).map( j => {
+					return Array.from(Array(nChoice)).map( k => {
+						return 0;
+					});
+				})
+			});
+			if (this.humanHistory.length > this.nInput)
+				this.humanHistory.splice(this.nInput);
+		},
+		// Play a move given current data (*after* human move)
+		play: function(humanMove) {
+			this.humanMove = humanMove;
+			let candidates = [ ];
+			Array.from(Array(nChoice)).forEach( (e,i) => {
+				// Sum all weights from an activated input to this output
+				let sumWeights = this.weights[i].reduce( (acc,input,j) => {
+					if (this.humanHistory.length <= j)
+						return 0;
+					return input[ this.humanHistory[j] ];
+				}, 0 );
+				let move = {
+					val: sumWeights,
+					index: i,
+				};
+				if (candidates.length == 0 || sumWeights > candidates[0].val)
+					candidates = [move];
+				else if (sumWeights == candidates[0].val)
+					candidates.push(move);
+			});
+			// Pick a choice at random in maxValue (total random for first move)
+			let randIdx = Math.floor(Math.random() * candidates.length);
+			this.compMove = candidates[randIdx].index;
+			// Update game state
+			let reward = rewards[this.compMove][humanMove]; //viewpoint of computer
+			this.gameState -= reward;
+			this.updateWeights(reward);
+			// Update human moves history
+			this.humanHistory.push(humanMove);
+			if (this.humanHistory.length > this.nInput)
+				this.humanHistory.shift();
+		},
+		updateWeights: function(reward) {
+			let delta = Math.sign(reward);
+			if (this.drawIsLost && reward == 0)
+				delta = -1;
+			this.weights[this.compMove].forEach( (input,i) => {
+				if (i < this.humanHistory.length)
+					input[ this.humanHistory[i] ] += delta;
+			});
+			// Re-center the weights
+			let sumAllWeights = this.weights.reduce( (a,output) => {
+				return a + output.reduce( (b,input) => {
+					return b + input.reduce( (c,choiceWeight) => {
+						return c + choiceWeight;
+					}, 0);
+				}, 0);
+			}, 0);
+			let meanWeight = sumAllWeights / (this.nInput * nChoice * nChoice);
+			this.weights.forEach( output => {
+				output.forEach( input => {
+					for (let i=0; i<input.length; i++)
+						input[i] -= meanWeight;
+				});
+			});
+		},
+		imgSource: function(symbol) {
+			return "img/" + symbol + ".png";
+		},
+  },
+});