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https://github.com/chen0040/js-simulator
General-purpose discrete-event multiagent simulation library for agent-based modelling and simulation
https://github.com/chen0040/js-simulator
abms agent-based-framework agent-based-modeling agent-based-simulation discrete-event-simulation flocking-algorithm game-of-life multi-agent-systems multiagent-systems simulation simulation-framework
Last synced: 18 days ago
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General-purpose discrete-event multiagent simulation library for agent-based modelling and simulation
- Host: GitHub
- URL: https://github.com/chen0040/js-simulator
- Owner: chen0040
- License: mit
- Created: 2017-06-06T04:32:48.000Z (over 7 years ago)
- Default Branch: master
- Last Pushed: 2017-06-24T05:29:18.000Z (over 7 years ago)
- Last Synced: 2024-10-01T07:49:04.795Z (about 1 month ago)
- Topics: abms, agent-based-framework, agent-based-modeling, agent-based-simulation, discrete-event-simulation, flocking-algorithm, game-of-life, multi-agent-systems, multiagent-systems, simulation, simulation-framework
- Language: JavaScript
- Homepage:
- Size: 166 KB
- Stars: 67
- Watchers: 6
- Forks: 9
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# 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.
[](https://travis-ci.org/chen0040/js-simulator) [](https://coveralls.io/github/chen0040/js-simulator?branch=master)
# Install
Run the following npm command to install
```bash
npm install js-simulator
```
# Demo
The following HTML demo is available:
* Flocking Boids [HTML DEMO](https://rawgit.com/chen0040/js-simulator/master/examples/example-flocking.html)
* Conway's Game of Life [HTML DEMO](https://rawgit.com/chen0040/js-simulator/master/examples/example-game-of-life.html)
* School Yard [HTML DEMO](https://rawgit.com/chen0040/js-simulator/master/examples/example-school-yard.html)
* L-System (Fractal Plant) [HTML DEMO](https://rawgit.com/chen0040/js-simulator/master/examples/example-l-system.html)
* L-System (Dragon Curve) [HTML DEMO](https://rawgit.com/chen0040/js-simulator/master/examples/example-dragon-curve.html)
* Ant System [HTML DEMO](https://rawgit.com/chen0040/js-simulator/master/examples/example-ant.html)
* Particle Swarm [HTML DEMO](https://rawgit.com/chen0040/js-simulator/master/examples/example-pso.html)
* Virus [HTML DEMO](https://rawgit.com/chen0040/js-simulator/master/examples/example-virus.html)
* (Spring) Balls [HTML DEMO](https://rawgit.com/chen0040/js-simulator/master/examples/example-balls.html)
* Solar System [HTML DEMO](https://rawgit.com/chen0040/js-simulator/master/examples/example-solar.html)
* Near Beer Game [HTML DEMO](https://rawgit.com/chen0040/js-simulator/master/examples/example-near-beer-game.html)
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:
```javascript
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:
```javascript
var rank = 1; // the higher the rank, the higher the priority assigned and the higher-rank event will be fired first for all events occurring at the same time interval
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);
// the code below allows the evt to send message to another agent (i.e., the agent referred by receiver variable)
/*
var receiver_id = receiver.guid()
this.sendMsg(receiver_id, {
content: "Hello"
});
*/
// the code below allows the evt to process messages sent from another agent
/*
var messages = this.readInbox();
for(var i = 0; i < messages.length; ++i){
var msg = messages[i];
var sender_id = msg.sender;
var recipient_id = msg.recipient; // should equal to this.guid()
var time = msg.time;
var rank = msg.rank; // the messages[0] contains the highest ranked message and last messages contains lowest ranked
var content = msg.content; // for example the "Hello" text from the sendMsg code above
}
*/
};
var time_to_fire = 10; // fire this event at time = 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):
```javascript
var delta_time_later = 10; // the event will be fired 10 time units from now, where now refers to the current scheduler time
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:
```javascript
var interval = 2; // time interval between consecutive firing of the event
var start_time = 12; // time to fire the event for the first time
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:
```javascript
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:
```javascript
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:
```javascript
while(scheduler.current_time < 20) { // stop the scheduler when current scheduler time is 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):
```javascript
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:
```javascript
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)
{
// Separation
this.velocity.x += pos.x - boid_pos.x;
this.velocity.y += pos.y - boid_pos.y;
}
else if (distance < this.sight)
{
// Cohesion
this.velocity.x += (boid_pos.x - pos.x) * 0.05;
this.velocity.y += (boid_pos.y - pos.y) * 0.05;
}
if (distance < this.sight)
{
// Alignment
this.velocity.x += boid.velocity.x * 0.5;
this.velocity.y += boid.velocity.y * 0.5;
}
}
if (boid.isPredator && distance < this.sight)
{
// Avoid predators.
this.velocity.x += pos.x - boid_pos.x;
this.velocity.y += pos.y - boid_pos.y;
}
}
}
// check speed
var speed = this.velocity.length();
if(speed > this.speed) {
this.velocity.resize(this.speed);
}
pos.x += this.velocity.x;
pos.y += this.velocity.y;
// check boundary
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:
```javascript
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:
```javascript
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); // dead
}
if (count == 3) {
this.world.setCell(i, j, 1); // live
}
}
}
};
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) { // this assumes that we want to terminate at time 20
scheduler.update();
}
```
### School Yard Demo
The sample code below shows the school yard demo:
```javascript
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();
}
```