Upit | Learn about creating the game Woof with gen AI

/**** * Classes ****/ // Sheep class var Sheep = Container.expand(function () { var self = Container.call(this); var sheepGraphics = self.attachAsset('sheep', { anchorX: 0.5, anchorY: 0.5 }); self.speed = 1; self.direction = Math.random() * Math.PI * 2; self.move = function (bestPosition) { var w = 0.5; // Inertia weight var c1 = 0.8; // Cognitive weight var c2 = 0.9; // Social weight // Update velocity self.velocity.x = w * self.velocity.x + c1 * Math.random() * (self.bestPosition.x - self.x) + c2 * Math.random() * (bestPosition.x - self.x); self.velocity.y = w * self.velocity.y + c1 * Math.random() * (self.bestPosition.y - self.y) + c2 * Math.random() * (bestPosition.y - self.y); // Update position self.x += self.velocity.x; self.y += self.velocity.y; // Update best personal position if (self.distanceTo(bestPosition) < self.distanceTo(self.bestPosition)) { self.bestPosition.x = self.x; self.bestPosition.y = self.y; } }; self.distanceTo = function (position) { var dx = self.x - position.x; var dy = self.y - position.y; return Math.sqrt(dx * dx + dy * dy); }; // Initialize velocity and bestPosition self.velocity = { x: 0, y: 0 }; self.bestPosition = { x: self.x, y: self.y }; self.avoidWalls = function () { if (self.x < 50 || self.x > 1998 || self.y < 50 || self.y > 2682) { self.direction += Math.PI; } }; self.avoidDog = function (dog) { if (self.intersects(dog)) { self.direction += Math.PI / 2; } }; }); // Shepherd dog class var Dog = Container.expand(function () { var self = Container.call(this); var dogGraphics = self.attachAsset('dog', { anchorX: 0.5, anchorY: 0.5 }); self.move = function (pos) { self.x = pos.x; self.y = pos.y; }; }); /**** * Initialize Game ****/ var game = new LK.Game({ backgroundColor: 0x87CEEB // Light blue background to represent the sky }); /**** * Game Code ****/ // Shepherd dog asset // Sheep asset // Initialize sheep array var sheepArray = []; // Initialize global best position for the swarm var globalBestPosition = { x: 1024, y: 1366 }; // Create 20 sheep and add them to the game and sheepArray for (var i = 0; i < 20; i++) { var sheep = new Sheep(); sheep.x = Math.random() * 2048; sheep.y = Math.random() * 2732; // Update global best position if necessary if (sheep.distanceTo(globalBestPosition) < sheep.distanceTo(sheep.bestPosition)) { globalBestPosition.x = sheep.x; globalBestPosition.y = sheep.y; } game.addChild(sheep); sheepArray.push(sheep); } // Create shepherd dog and add it to the game var shepherdDog = new Dog(); shepherdDog.x = 1024; // Start in the middle of the game area shepherdDog.y = 1366; game.addChild(shepherdDog); // Event listener for touch move to move the shepherd dog game.on('move', function (obj) { var pos = obj.event.getLocalPosition(game); shepherdDog.move(pos); }); // Main game tick event LK.on('tick', function () { // Move each sheep and update global best position for (var i = 0; i < sheepArray.length; i++) { var sheep = sheepArray[i]; sheep.move(globalBestPosition); sheep.avoidWalls(); sheep.avoidDog(shepherdDog); // Update global best position if necessary if (sheep.distanceTo(globalBestPosition) < sheep.distanceTo(sheep.bestPosition)) { globalBestPosition.x = sheep.x; globalBestPosition.y = sheep.y; } } }); // Ensure the game is touchscreen compatible game.on('down', function (obj) { var pos = obj.event.getLocalPosition(game); shepherdDog.move(pos); }); game.on('up', function (obj) { // This can be used for future features where the dog stops moving on touch up });

===================================================================
--- original.js
+++ change.js
@@ -7,46 +7,40 @@
 	var sheepGraphics = self.attachAsset('sheep', {
 		anchorX: 0.5,
 		anchorY: 0.5
 	});
+	self.speed = 1;
+	self.direction = Math.random() * Math.PI * 2;
+	self.move = function (bestPosition) {
+		var w = 0.5; // Inertia weight
+		var c1 = 0.8; // Cognitive weight
+		var c2 = 0.9; // Social weight
+		// Update velocity
+		self.velocity.x = w * self.velocity.x + c1 * Math.random() * (self.bestPosition.x - self.x) + c2 * Math.random() * (bestPosition.x - self.x);
+		self.velocity.y = w * self.velocity.y + c1 * Math.random() * (self.bestPosition.y - self.y) + c2 * Math.random() * (bestPosition.y - self.y);
+		// Update position
+		self.x += self.velocity.x;
+		self.y += self.velocity.y;
+		// Update best personal position
+		if (self.distanceTo(bestPosition) < self.distanceTo(self.bestPosition)) {
+			self.bestPosition.x = self.x;
+			self.bestPosition.y = self.y;
+		}
+	};
+	self.distanceTo = function (position) {
+		var dx = self.x - position.x;
+		var dy = self.y - position.y;
+		return Math.sqrt(dx * dx + dy * dy);
+	};
+	// Initialize velocity and bestPosition
 	self.velocity = {
-		x: Math.random() * 2 - 1,
-		y: Math.random() * 2 - 1
+		x: 0,
+		y: 0
 	};
 	self.bestPosition = {
 		x: self.x,
 		y: self.y
 	};
-	self.evaluatePosition = function (position) {
-		// Placeholder for position evaluation function, to be defined
-		// This should return a value representing the 'goodness' of a position
-		// For now, we'll just return 0
-		return 0;
-	};
-	self.move = function (bestPosition) {
-		var inertiaWeight = 0.5;
-		var cognitiveConstant = 0.5;
-		var socialConstant = 0.5;
-		var randCognitive = Math.random();
-		var randSocial = Math.random();
-		// Update velocity based on previous velocity (inertia),
-		// the sheep's own best known position (cognitive),
-		// and the swarm's best known position (social)
-		self.velocity = {
-			x: inertiaWeight * self.velocity.x + cognitiveConstant * randCognitive * (self.bestPosition.x - self.x) + socialConstant * randSocial * (bestPosition.x - self.x),
-			y: inertiaWeight * self.velocity.y + cognitiveConstant * randCognitive * (self.bestPosition.y - self.y) + socialConstant * randSocial * (bestPosition.y - self.y)
-		};
-		// Update position based on new velocity
-		self.x += self.velocity.x;
-		self.y += self.velocity.y;
-		// Update the sheep's best known position if current position is better
-		if (self.evaluatePosition() < self.evaluatePosition(self.bestPosition)) {
-			self.bestPosition = {
-				x: self.x,
-				y: self.y
-			};
-		}
-	};
 	self.avoidWalls = function () {
 		if (self.x < 50 || self.x > 1998 || self.y < 50 || self.y > 2682) {
 			self.direction += Math.PI;
 		}
@@ -83,13 +77,23 @@
 // Shepherd dog asset
 // Sheep asset
 // Initialize sheep array
 var sheepArray = [];
+// Initialize global best position for the swarm
+var globalBestPosition = {
+	x: 1024,
+	y: 1366
+};
 // Create 20 sheep and add them to the game and sheepArray
 for (var i = 0; i < 20; i++) {
 	var sheep = new Sheep();
 	sheep.x = Math.random() * 2048;
 	sheep.y = Math.random() * 2732;
+	// Update global best position if necessary
+	if (sheep.distanceTo(globalBestPosition) < sheep.distanceTo(sheep.bestPosition)) {
+		globalBestPosition.x = sheep.x;
+		globalBestPosition.y = sheep.y;
+	}
 	game.addChild(sheep);
 	sheepArray.push(sheep);
 }
 // Create shepherd dog and add it to the game
@@ -103,21 +107,19 @@
 	shepherdDog.move(pos);
 });
 // Main game tick event
 LK.on('tick', function () {
-	// Determine the swarm's best known position
-	var swarmBestPosition = {
-		x: 0,
-		y: 0
-	};
-	// Placeholder for swarm best position calculation
-	// This should be updated to reflect the actual best position of the swarm
-	// Move each sheep
+	// Move each sheep and update global best position
 	for (var i = 0; i < sheepArray.length; i++) {
 		var sheep = sheepArray[i];
-		sheep.move(swarmBestPosition);
+		sheep.move(globalBestPosition);
 		sheep.avoidWalls();
 		sheep.avoidDog(shepherdDog);
+		// Update global best position if necessary
+		if (sheep.distanceTo(globalBestPosition) < sheep.distanceTo(sheep.bestPosition)) {
+			globalBestPosition.x = sheep.x;
+			globalBestPosition.y = sheep.y;
+		}
 	}
 });
 // Ensure the game is touchscreen compatible
 game.on('down', function (obj) {

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