The blending techniques allow you to add behaviors and mix them without creating new scripts every time you need a new type of hybrid agent.

This is one of the most powerful techniques in this chapter, and it's probably the most widely-used behavior-blending approach because of its power and the low cost of implementation.

We must add a new member variable to our AgentBehaviour class called weight and preferably assign a default value. In this case, this is 1.0f. We should refactor the Update function to incorporate weight as a parameter for the Agent class's SetSteering function. All in all, the new AgentBehaviour class should look something like this:

public class AgentBehaviour : MonoBehaviour 
{ 
    public float weight = 1.0f; 
 
    // ... the rest of the class 
 
    public virtual void Update () 
    { 
        agent.SetSteering(GetSteering(), weight); 
   } 
}

We just need to change the SetSteering function's signature and definition:

public void SetSteering (Steering steering, float weight) 
{ 
    this.steering.linear += (weight * steering.linear); 
    this.steering.angular += (weight * steering.angular); 
} 

The weights are used to amplify the steering behavior result, and they're added to the main steering structure.

The weights don't necessarily need to add up to 1.0f. The weight parameter is a reference for defining the relevance that the steering behavior will have among other parameters.

In this project, there is an example of avoiding walls, which is worked out using weighted blending.