Agent-oriented programming

Historically, the concept of agent-oriented programming and the idea of centering software around the concept of an Agent was introduced by Yoav Shoham within his Artificial Intelligence studies in 1990.[1][2] His agents are specific to his own paradigm as they have just one method, with a single parameter. To quote Yoav Shoham from his paper in 1990 for a basic difference between AOP and OOP:

...agent-oriented programming (AOP), which can be viewed as a specialization of object-oriented programming. ...

There are multiple AOP 'frameworks', also called agent platforms, that implement Shoham's programming paradigm. The following examples illustrate how a basic agent is programmed as a hello-world program.

package helloworld;
import jade.core.Agent;

public class Hello extends Agent {
	
	protected void setup() { 
		System.out.println("Hello World. ");
		System.out.println("My name is "+ getLocalName()); 
	}
	
	public Hello() {
		System.out.println("Constructor called");
	}

}

	
	started.

	+started <- .print("Hello World. ").

package helloworld
import io.sarl.core.Initialize
agent HelloWorldAgent {
        on Initialize {	
             println("Hello World.")
        }
}

One way to implement modular or extensible AOP support is to define standard AOP APIs to middleware functions that are themselves implemented as software agents. For example, a directory service can be implemented as a FIPA directory facilitator or DF software agent; life-cycle management to start, stop, suspend and resume agents can be implemented as a FIPA Agent Management Service or AMS agent.[6] A benefit of the AOP approach is that it supports more dynamic roles between different users and providers of applications, services and networks. For example, traditionally, networks and services were usually managed by the network and service provider on behalf of the customer and offered as a single virtual network service but customers themselves are becoming more empowered to integrate and manage their own services. This can be achieved via AOP and APIs to middleware agents that can flexibly and dynamically manage communication.[7]

• Software agent
• NetLogo
• Actor model
• GOAL