js-simulator
Inspired by the MASON Multiagent Simulation library in Java, js-simulator is a general-purpose discrete-event multiagent simulator for agent-based modelling and simulation. It was written entirely in Javascript.
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Install
Run the following npm command to install
npm install js-simulator
Demo
The following HTML demo is available:
More demo and HTML GUI supports will be added in the subsequent releases.
Usage
Create and schedule discrete events or agents
The discrete-event simulator is managed via the Scheduler class, which can be created as shown below:
jssim = require('js-simulator');
var scheduler = new jssim.Scheduler();
The scheduler schedules and fires events based on their time and rank (i.e. the order of the event) spec.
To schedule the an event to fire at a particular time:
var rank = 1;
var evt = new jssim.SimEvent(rank);
evt.id = 20;
evt.update = function(deltaTime) {
console.log('event [' + this.id + '] with rank ' + this.rank + ' is fired at time ' + this.time);
};
var time_to_fire = 10;
scheduler.schedule(evt, time_to_fire);
The main logic for an event is defined in its update(deltaTime) method, as shown in the code above. Events with higher ranks and earlier time_to_fire will always be executed first by the scheduler.
An event can also be sheduled to fire at a later time from the current time (e.g., such an event can be fired within another event):
var delta_time_later = 10;
scheduler.scheduleOnceIn(evt, delta_time_later);
In terms of multi-agent system, an event can be thought of as an agent. Such an agent may need to execute repeatedly. In the js-simulator, this is achieved by firing an event repeatedly at a fixed interval:
var interval = 2;
var start_time = 12;
scheduler.scheduleRepeatingAt(evt, start_time, interval);
If the start_time is at from the start of the simulation, then the above scheduling can also be replaced by:
scheduler.scheduleRepatingIn(evt, interval);
Execute the scheduler loop for the main discrete-event simulation
After the events/agents are scheduled, they are not fired immediately but only fired when scheduler.update() method is called, each call to scheduler.update() to move the
time forward. At each time forwarded, events with higher rank will be executed (by calling their update(delaTime) method) first. Also events with the same rank will be shuffled before execution.
The scheduler can be executed in the following loop:
while(scheduler.hasEvents()) {
var evts_fired = scheduler.update();
}
The above will run until no more events to fire in the scheduler, to stop the scheduler at a particular instead, use the following loop:
while(scheduler.current_time < 20) {
scheduler.update();
}
The current scheduler time can be obtained by calling (this is useful if we want to know the current time inside the scheduler):
var current_scheduler_time = scheduler.current_time;
Sample Codes
Flocking behavior Demo
The source code below shows how to create a flocking of 15 boids (12 preys and 3 predators) that demonstrate the flocking principles:
Firstly we will declare a Boid class the inherits from the jsssim.SimEvent class, which defines the behavior of a single boid:
var jssim = require('js-simulator');
var Boid = function(id, initial_x, initial_y, space, isPredator) {
var rank = 1;
jssim.SimEvent.call(this, rank);
this.id = id;
this.space = space;
this.space.updateAgent(this, initial_x, initial_y);
this.sight = 75;
this.speed = 12;
this.separation_space = 30;
this.velocity = new jssim.Vector2D(Math.random(), Math.random());
this.isPredator = isPredator;
this.border = 100;
};
Boid.prototype = Object.create(jssim.SimEvent);
Boid.prototype.update = function(deltaTime) {
var boids = this.space.findAllAgents();
var pos = this.space.getLocation(this.id);
if(this.isPredator) {
var prey = null;
var min_distance = 10000000;
for (var boidId in boids)
{
var boid = boids[boidId];
if(!boid.isPredator) {
var boid_pos = this.space.getLocation(boid.id);
var distance = pos.distance(boid_pos);
if(min_distance > distance){
min_distance = distance;
prey = boid;
}
}
}
if(prey != null) {
var prey_position = this.space.getLocation(prey.id);
this.velocity.x += prey_position.x - pos.x;
this.velocity.y += prey_position.y - pos.y;
}
} else {
for (var boidId in boids)
{
var boid = boids[boidId];
var boid_pos = this.space.getLocation(boid.id);
var distance = pos.distance(boid_pos);
if (boid != this && !boid.isPredator)
{
if (distance < this.separation_space)
{
this.velocity.x += pos.x - boid_pos.x;
this.velocity.y += pos.y - boid_pos.y;
}
else if (distance < this.sight)
{
this.velocity.x += (boid_pos.x - pos.x) * 0.05;
this.velocity.y += (boid_pos.y - pos.y) * 0.05;
}
if (distance < this.sight)
{
this.velocity.x += boid.velocity.x * 0.5;
this.velocity.y += boid.velocity.y * 0.5;
}
}
if (boid.isPredator && distance < this.sight)
{
this.velocity.x += pos.x - boid_pos.x;
this.velocity.y += pos.y - boid_pos.y;
}
}
}
var speed = this.velocity.length();
if(speed > this.speed) {
this.velocity.resize(this.speed);
}
pos.x += this.velocity.x;
pos.y += this.velocity.y;
var val = this.boundary - this.border;
if (pos.x < this.border) pos.x = this.boundary - this.border;
if (pos.y < this.border) pos.y = this.boundary - this.border;
if (pos.x > val) pos.x = this.border;
if (pos.y > val) pos.y = this.border;
console.log("boid [ " + this.id + "] is at (" + pos.x + ", " + pos.y + ") at time " + this.time);
};
Once the boid is defined we can then create and schedule the flocking event simulator using the code below:
var scheduler = new jssim.Scheduler();
scheduler.reset();
var space = new jssim.Space2D();
for(var i = 0; i < 15; ++i) {
var is_predator = i > 12;
var boid = new Boid(i, 0, 0, space, is_predator);
scheduler.scheduleRepeatingIn(boid, 1);
}
while(scheduler.current_time < 20) {
scheduler.update();
}
Conway's Game of Life
The sample code below shows how to create the game of life simulation:
var jssim = require('js-simulator');
var CellularAgent = function(world) {
jssim.SimEvent.call(this);
this.world = world;
};
CellularAgent.prototype = Object.create(jssim.SimEvent.prototype);
CellularAgent.prototype.update = function (deltaTime) {
var width = this.world.width;
var height = this.world.height;
var past_grid = this.world.makeCopy();
for(var i=0; i < width; ++i) {
for(var j = 0; j < height; ++j) {
var count = 0;
for(var dx = -1; dx < 2; ++dx) {
var x = i + dx;
if (x >= width) {
x = 0;
}
if (x < 0) {
x = width - 1;
}
for(var dy = -1; dy < 2; ++dy) {
var y = j + dy;
if(y >= height) {
y = 0;
}
if(y < 0) {
y = height - 1;
}
count += past_grid.getCell(x, y);
}
}
if (count <= 2 || count >= 5) {
this.world.setCell(i, j, 0);
}
if (count == 3) {
this.world.setCell(i, j, 1);
}
}
}
};
var scheduler = new jssim.Scheduler();
var grid = new jssim.Grid(640, 640);
scheduler.reset();
grid.reset();
grid.setCell(1, 0, 1);
grid.setCell(2, 0, 1);
grid.setCell(0, 1, 1);
grid.setCell(1, 1, 1);
grid.setCell(1, 2, 1);
grid.setCell(2, 2, 1);
grid.setCell(2, 3, 1);
scheduler.scheduleRepeatingIn(new CellularAgent(grid), 1);
while(scheduler.current_time < 20) {
scheduler.update();
}
School Yard Demo
The sample code below shows the school yard demo:
var Student = function(id, yard, network) {
jssim.SimEvent.call(this);
this.id = id;
this.yard = yard;
this.network = network;
this.MAX_FORCES = 3.0;
this.forceToSchoolMultiplier = 0.01;
this.randomMultiplier = 0.1;
};
Student.prototype = Object.create(jssim.SimEvent.prototype);
Student.prototype.update = function(deltaTime) {
var students = this.yard.findAllAgents();
var me = this.yard.getLocation(this.id);
var sumForces = new jssim.Vector2D(0, 0);
var forceVector = new jssim.Vector2D(0, 0);
var edges = this.network.adj(this.id);
var len = edges.length;
for (var buddy = 0; buddy < len; ++buddy)
{
var e = edges[buddy];
var buddiness = e.info;
var him = this.yard.getLocation(e.other(this.id));
if (buddiness >= 0)
{
forceVector.set((him.x - me.x) * buddiness, (him.y - me.y) * buddiness);
if (forceVector.length() > this.MAX_FORCES)
{
forceVector.resize(this.MAX_FORCES);
}
}
else
{
forceVector.set((me.x - him.x) * buddiness, (me.y - him.y) * buddiness);
if (forceVector.length() > this.MAX_FORCES)
{
forceVector.resize(0);
}
else if(forceVector.length() > 0)
{
forceVector.resize(this.MAX_FORCES - forceVector.length());
}
}
sumForces.addIn(forceVector);
}
sumForces.addIn(
new jssim.Vector2D((this.yard.width * 0.5 - me.x) * this.forceToSchoolMultiplier, (this.yard.height * 0.5 - me.y) * this.forceToSchoolMultiplier)
);
sumForces.addIn(
new jssim.Vector2D(this.randomMultiplier * (Math.random() * 1.0 - 0.5), this.randomMultiplier * Math.random() * 1.0 - 0.5));
sumForces.addIn(me);
me.x = sumForces.x;
me.y = sumForces.y;
console.log("Student " + this.id + " is at (" + me.x + ", " + me.y + ") at time " + this.time);
};
var scheduler = new jssim.Scheduler();
var yard = new jssim.Space2D();
var network = new jssim.Network(30);
yard.width = 50;
yard.height = 50;
scheduler.reset();
yard.reset();
network.reset();
for(var i=0; i < 30; ++i) {
var student = new Student(i, yard, network);
yard.updateAgent(student, Math.random() * yard.width, Math.random() * yard.height);
scheduler.scheduleRepeatingIn(student, 1);
}
var buddies = {};
for (var i = 0; i < 30; ++i)
{
var student = i;
var studentB = i;
do
{
studentB = Math.floor(Math.random() * 30);
} while (student == studentB);
var buddiness = Math.random();
if(!network.connected(student, studentB)){
network.addEdge(new jssim.Edge(student, studentB, buddiness));
}
var studentB = i;
do
{
studentB = Math.floor(Math.random() * 30);
} while (student == studentB);
buddiness = Math.random();
if(!network.connected(student, studentB)){
network.addEdge(new jssim.Edge(student, studentB, buddiness));
}
}
while (scheduler.current_time < 2) {
scheduler.update();
}